, DEvIR: Dataset for Event and Itinerary Recommendation Contents 10.1 Objectives and

. .. Summary, Category: Adults. Location: Ooh La La 14:00 -14:45. The Comedy & Hypnosis of Ricky Kalmon . Category: Fun for all ages, 45. Martini Tasting (21+). Category: Adults. Location: Meridian 13:15 -13:45. Disney Trivia . Category: Fun for all ages. Location: La Piazza, vol.189, pp.30-47

, Live Music with Andrea & Rafaela . Category: Fun for all ages, 00. Ratatouille (G). Category: Funnel Vision. Location: Funnel Vision, vol.17, pp.15-19

, Category: Fun for all ages. Location: The Tube. Don't Miss Event 19:30 -20:30. Captain's Welcome Reception . Category: Fun for all ages. Location: Lobby Atrium. Don't Miss Event 19:30 -20:15. Club D Dance Party . Category: Fun for all ages, 30. Family Dance Party . Category: Fun for all ages. Location: The Tube, vol.19, pp.0-22

, :15. Goofy . Category: Characters. Location: Preludes 20:30 -21:30. Disney's Aladdin: Musical Spectacular . Category: Fun for all ages. Location: Walt Disney Theatre, Category: Buena Vista Theatre. Location: Buena Vista Theatre, vol.20, pp.0-20

, Category: Funnel Vision. Location: Funnel Vision 22:30 -23:30. Family Karaoke . Category: Fun for all ages, Disney Animation: Cartoon Physics . Category: Fun for all ages. Location: D Lounge. Don't Miss Event 09:45 -10:15. Crafts: Tile Coasters . Category: Adults. Location: O'Gills Pub, vol.20, p.270

, Category: Adults. Location: Meridian. Nominal fee. Reservation required 15:15 -16:00. Acupuncture Stress, Insomnia and Depression . Category: Adults. Location: Senses Spa & Salon 15:45 -16:15. Bingo Pre Sales . Category: Buena Vista Theatre. Location: Buena Vista Theatre, 30. Tiana . Category: Characters. Location: Lobby Atrium, Vestibule 19:15 -20:15. Family Dance Party . Category: Fun for all ages. Location: The Tube 19:30 -20:00. Mickey Mouse . Category: Characters. Location: Deck, vol.12, pp.30-47

, Ship: Disney Fantasy Weather: Destination: Eastern Caribbean Today: Partly Cloudy Itinerary: A Tomorrow: Sunny Date: 23.06, 2015.

, Sunrise Stretch . Category: Adults. Location: Senses Fitness Center, Today High 80F 27C Weekday: Tuesday Tomorrow High 80F 27C Sunrise: 05:38 Special Holiday Edition: No Sunset: 18:51 Holiday: No Evening Attire: Pirate or Cruise Casual All Ashore: 08:00 All Abroad, vol.18, p.277

, Category: Fun for all ages. Location: La Piazza 15:30 -16:30. Pirate Crafts . Category: Fun for all ages, 22. Cinderella (2015) (PG). Category: Buena Vista Theatre. Location: Buena Vista Theatre, vol.14, pp.45-62

, Category: Fun for all ages. Location: Walt Disney Theatre. Event of the Day 17:30 -17:45. Captain Hook & Mr Smee . Category: Characters. Location: Deck 4, Balcony 18:30 -19:00. A Pirate's Life For Me . Category: Fun for all ages. Location: D Lounge. Don't Miss Event, 30. Disney Junior Pirate & Princess Dance Party . Category: Fun for all ages. Location: D Lounge. Don't Miss Event, vol.17, p.45

, Category: Characters. Location: Preludes 20:30 -21:00. Pirate Trivia . Category: Fun for all ages. Location: Preludes 21:30 -21:45. Pirate Donald . Category: Characters. Location: Lobby Atrium, Port Side 21:30 -21:45. Pirate Daisy . Category: Characters. Location: Lobby Atrium, Starboard Side 21:30 -22:00. A Pirate's Life For Me . Category: Fun for all ages. Location: D Lounge. Don't Miss Event 21:30 -22:15. Live Music with Rob Sanders . Category: Adults. Location: La Piazza 21:30 -22:15. Live Guitar with Carrie Stone, :15. Mickey's Pirates in the Caribbean . Category: Fun for all ages. Location: Deck Stage. Don't Miss Event, vol.19, pp.0-17

, Category: Funnel Vision. Location: Funnel Vision 15:30 -15:45. Hook & Smee . Category: Characters. Location: Deck 4, :45. Disney Animation: Staging a Scene . Category: Fun for all ages. Location: D Lounge. Don't Miss Event, vol.15, p.283

, Category: Funnel Vision. Location: Funnel Vision 19:00 -19:30. Family Dance Party . Category: Fun for all ages. Location: The Tube 19:15 -19:30. Daisy . Category: Characters. Location: Lobby Atrium, Hallway 19:15 -19:30. Bingo Pre-Sale . Category: Fun for all ages, 00. Andrea & Rafaela LIVE . Category: Adults. Location: La Piazza Event Going Not going, vol.16, p.30

, Category: Adults. Location: Outlook 08:30 -09:00. Footprint Analysis . Category: Adults. Location: Senses Spa & Salon 09:00 -09:15. Doc McStuffins . Category: Characters. Location: Lobby Atrium, Vestibule 09:00 -09:30. Crafts: Origami Frogs . Category: Fun for all ages, Acupuncture Seminar Asthma & Allergy Management . Category: Adults. Location: Senses Spa & Salon, vol.22, p.45

, Bingo Pre Sales . Category: Fun for all ages. Location: D Lounge 11:00 -11:30. Secrets to a Flatter Stomach, :00. Jack-Jack's Diaper Dash . Category: Fun for all ages. Location: Lobby Atrium. Reservation required, vol.10, p.290

, Character Dance Party . Category: Characters. Location: Lobby Atrium 13:00 -13:30. Crafts: 3D Crafts . Category: Fun for all ages. Location: La Piazza 13:00 -13:30. Ultimate Disney Trivia . Category: Adults. Location: O'Gills Pub, 42. Inside Out (PG). Category: Fun for all ages. Location: Walt Disney Theatre. Don't Miss Event, vol.11, p.292

, Category: Adults. Location: La Piazza. Nominal fee. Reservation required 16:30 -17:00. Margarita Tasting (21+). Category: Adults. Location: Ooh La La. Nominal fee, :00. Final Jackpot Bingo . Category: Buena Vista Theatre. Location: Buena Vista Theatre, vol.15, p.30

, Category: Characters. Location: Deck 4, Balcony 294 Event Going Not going 19:30 -20:00. Mirror Mirror . Category: Fun for all ages. Location: D Lounge 19:30 -20:00. Variety: Michael Dubois . Category: Fun for all ages. Location: The Tube 19:30 -20:15. Live Music with FireLites . Category: Adults. Location: La Piazza, :15. Live Music with Andrea & Rafaela . Category: Fun for all ages. Location: Lobby Atrium, vol.17, p.30, 2015.

, Books and Magazines available in Cove Café . Category: Adults. Location: Cove Café 09:00 -22:00. The Muppets . Category: Fun for all ages. Location: Deck 2 & 5, 45. Goofy . Category: Characters. Location: Lobby Atrium, Starboard Side 09:45 -10:15. Disney Trivia . Category: Fun for all ages, vol.21, pp.30-39

, Crab Races . Category: Fun for all ages. Location: Island Gazebo 1 12:30 -13:00. Basketball Free Throw . Category: Fun for all ages, Society: Island Bike Ride . Category: Adults. Location: Bike Rentals, vol.11, p.299

, Category: Funnel Vision. Location: Funnel Vision 15:30 -16:15. Family Crafts . Category: Fun for all ages, 00. Sea Ya' Real Soon! . Category: Characters. Location: Lobby Atrium. Don't Miss Event, vol.13, p.30

, Category: Buena Vista Theatre. Location: Buena Vista Theatre 18:00 -19:00. The Emperor's New Groove (G). Category: Funnel Vision. Location: Funnel Vision 18:15 -19:00. Disney Cruise Line: An Unforgettable Journey . Category: Fun for all ages. Location: Walt Disney Theatre. Event of the Day 19:00 -20:15. Family Dance Party . Category: Fun for all ages, :00. Live Music with Rob Sanders . Category: Fun for all ages. Location: La Piazza, vol.17, pp.30-49

, Category: Buena Vista Theatre. Location: Buena Vista Theatre 20:30 -21:30. Disney Cruise Line: An Unforgettable Journey . Category: Fun for all ages, 45. Sea Ya' Real Soon! . Category: Characters. Location: Lobby Atrium. Don't Miss Event, vol.19, pp.15-15

G. Adomavicius and A. Tuzhilin, Toward the next generation of recommender systems: A survey of the stateof-the-art and possible extensions, IEEE Trans. on Knowl. and Data Eng, vol.17, issue.6, pp.734-749, 2005.

/. Tkde, , 2005.

G. Adomavicius and A. Tuzhilin, ContextAware Recommender Systems, pp.191-226, 2015.

J. Alstott, E. Bullmore, and D. Plenz, powerlaw: A python package for analysis of heavy-tailed distributions, PLOS ONE, vol.9, issue.1, p.2014

L. Baltrunas, B. Ludwig, S. Peer, and F. Ricci, Context-aware places of interest recommendations for mobile users, User Experience, and Usability. Theory, Methods, Tools and Practice, pp.531-540, 2011.

J. Bao, Y. Zheng, D. Wilkie, and M. Mokbel,

, ommendations in location-based social networks: A survey. Geoinformatica, vol.19, pp.525-565, 2015.

C. Biancalana, F. Gasparetti, A. Micarelli, and G. Sansonetti, An approach to social recommendation for context-aware mobile services, ACM Trans. Intell. Syst. Technol, vol.4, issue.1, 2013.
DOI : 10.1145/2414425.2414435

F. Bohnert and I. Zukerman, Personalised viewingtime prediction in museums, User Modeling and User-Adapted Interaction, vol.24, issue.4, pp.263-314, 2014.
DOI : 10.1007/s11257-013-9141-8

F. Bohnert, D. F. Schmidt, and I. Zukerman, Spatial processes for recommender systems, Proceedings of the 21st International Joint Conference on Artifical Intelligence, IJ-CAI'09, pp.2022-2027, 2009.

M. Braunhofer, M. Elahi, M. Ge, F. Ricci, and T. Schievenin, STS: design of weather-aware mobile recommender systems in tourism, Proceedings of the First International Workshop on Intelligent User Interfaces: Artificial Intelligence meets Human Computer Interaction (AI*HCI 2013) A workshop of the XIII International Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), vol.4, 2013.

M. Braunhofer, M. Elahi, F. Ricci, and T. Schievenin, Context-aware points of interest suggestion with dynamic weather data management, Information and Communication Technologies in Tourism, pp.87-100, 2013.

M. Braunhofer, M. Elahi, M. Ge, and F. Ricci, Context dependent preference acquisition with personality-based active learning in mobile recommender systems, Learning and Collaboration Technologies. TechnologyRich Environments for Learning and Collaboration -First International Conference, LCT 2014, Held as Part of HCI International, pp.105-116, 2014.

M. Braunhofer, M. Elahi, and F. Ricci, User personality and the new user problem in a context-aware point of interest recommender system, Information and Communication Technologies in Tourism 2015, pp.978-981, 2015.

M. Braunhofer, I. Fernández-tobías, and F. Ricci, Parsimonious and adaptive contextual information acquisition in recommender systems, Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2015, co-located with ACM Conference on Recommender Systems, pp.2-8, 2015.

I. Brilhante, J. A. Macedo, M. Franco, and . Nardini, , p.326

C. Faele-perego and . Renso, Where shall we go today?: Planning touristic tours with tripbuilder, Proc. of the 22nd ACM International Conference on Information & Knowledge Management, CIKM '13, pp.757-762, 2013.

J. Igo-ramalho-brilhante, . Antônio-fernandes-de-macêdo, M. Franco, R. Nardini, C. Perego et al., On planning sightseeing tours with tripbuilder, Inf. Process. Manage, vol.51, issue.2, pp.1-15, 2015.

A. Bujari, M. Ciman, O. Gaggi, and C. E. Palazzi, Using gamification to discover cultural heritage locations from geo-tagged photos. Personal Ubiquitous Comput, vol.21, pp.235-252, 2017.

J. Caceres-cruz, P. Arias, D. Guimarans, D. Riera, and A. A. Juan, Rich vehicle routing problem, Survey. ACM Comput. Surv, vol.47, issue.2, 2014.

P. G. Campos, F. Díez, and I. Cantador, Timeaware recommender systems: a comprehensive survey and analysis of existing evaluation protocols, User Model. User-Adapt. Interact, vol.24, issue.1-2, pp.67-119, 2014.

J. Chen, X. Li, W. K. Cheung, and K. Li, Effective successive POI recommendation inferred with individual behavior and group preference, Neurocomputing, vol.210, pp.174-184, 2016.
DOI : 10.1016/j.neucom.2015.10.146

W. Chen, L. Zhao, X. Jiajie, K. Zheng, and X. Zhou, Ranking based activity trajectory search, Proc. of the 15th International Conference on Web Information Systems Engineering, 2014.
DOI : 10.1007/978-3-319-11749-2_14

E. Cho, S. A. Myers, and J. Leskovec, Friendship and mobility: User movement in location-based social networks, Proc. of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.1082-1090, 2011.

S. Coppens, E. Mannens, T. De-pessemier, K. Geebelen, H. Dacquin et al., Unifying and targeting cultural activities via events modelling and profiling, Multimed Tools Appl, vol.57, issue.1, pp.199-236, 2012.

J. Cordeau, M. Gendreau, and G. Laporte, A tabu search heuristic for periodic and multi-depot vehicle routing problems. Networks, vol.30, pp.105-119, 1997.

A. Dean-hall, C. L. Clarke, J. Kamps, P. Thomas, N. Simone et al., Overview of the trec 2013 contextual suggestion track, Proc. of the 22nd Text REtrieval Conference (TREC 2013), 2013.

A. Dean-hall, C. L. Clarke, J. Kamps, P. Thomas, and E. Voorhees, Overview of the trec 2014 contextual suggestion track, Proc. of the 23rd Text REtrieval Conference, 2014.

A. Dean-hall, C. L. Clarke, J. Kamps, J. Kiseleva, and E. Voorhees, Overview of the trec 2015 contextual suggestion track, Proc. of the 24th Text REtrieval Conference (TREC 2015), 2015.

A. Delic and J. Neidhardt, A comprehensive approach to group recommendations in the travel and tourism domain, Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP '17, pp.11-16, 2017.

C. Desrosiers and G. Karypis, A Comprehensive Survey of Neighborhood-based Recommendation Methods, pp.107-144, 2011.

R. Deveaud, M. Albakour, C. Macdonald, and I. Ounis, On the importance of venue-dependent features for learning to rank contextual suggestions, Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM '14, pp.1827-1830, 2014.

. Bernabé-dorronsoro-díaz, The vrp web, 2006.

J. Eisenstein, O. Brendan, . Connor, A. Noah, E. P. Smith et al., A latent variable model for geographic lexical variation, p.329

, Proc. of the 2010 Conference on Empirical Methods in Natural Language Processing, pp.1277-1287, 2010.

M. Elahi, M. Braunhofer, F. Ricci, and M. Tkalcic, Personality-based active learning for collaborative filtering recommender systems, AI* IA 2013: Advances in Artificial Intelligence, pp.360-371, 2013.

. Florida-caribbean, Cruise industry overview. 11200 Pines Blvd, vol.201, 2017.

C. Fellbaum, WordNet: An Electronic Lexical Database, 1998.

I. Fernández-tobías, M. Braunhofer, M. Elahi, F. Ricci, and I. Cantador, Alleviating the new user problem in collaborative filtering by exploiting personality information, User Model. User-Adapt. Interact, vol.26, issue.2-3, pp.221-255, 2016.

B. Ferwerda, M. Schedl, and M. Tkalcic, Personality traits and the relationship with (non-) disclosure behavior on facebook, Proc. of the 25th International Conference Companion on World Wide Web, pp.565-568, 2016.

F. Figueiredo, B. Ribeiro, J. M. Almeida, and C. Faloutsos, Tribeflow: Mining & predicting user trajectories, Proceedings of the 25th International Conference on World Wide Web, WWW '16, vol.330, pp.695-706, 2016.

, Wide Web Conferences Steering Committee

A. Sales-fonteles, S. Bouveret, and J. Gensel, Towards matching improvement between spatio-temporal tasks and workers in mobile crowdsourcing market systems, Proc. of the 3rd ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, MobiGIS '14, pp.43-50, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01212720

A. Sales-fonteles, S. Bouveret, and J. Gensel, Opportunistic trajectory recommendation for task accomplishment in crowdsourcing systems, Proc. of the 14th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2015, pp.178-190, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01212734

Z. Friggstad, S. Gollapudi, K. Kollias, T. Sarlos, C. Swamy et al., Orienteering algorithms for generating travel itineraries, Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM '18, pp.180-188, 2018.

D. Gavalas, C. Konstantopoulos, K. Mastakas, and G. Pantziou, A survey on algorithmic approaches for solving tourist trip design problems, Journal of Heuristics, vol.20, issue.3, pp.291-328, 2014.

A. Gionis, T. Lappas, K. Pelechrinis, and E. Terzi, Customized tour recommendations in urban areas, Proc. of the 7th ACM International Conference on Web Search and Data Mining, WSDM '14, 2014.

, Point-of-interest recommender system for social groups, S1877050917318148. Complex Adaptive Systems Conference with Theme: Engineering Cyber Physical Systems, vol.114, pp.159-164, 2017.

A. Gunawan, P. Hoong-chuin-lau, and . Vansteenwegen, Orienteering problem: A survey of recent variants, solution approaches and applications, European Journal of Operational Research, vol.255, issue.2, pp.315-332, 2016.

M. Harvey, M. J. Carman, I. Ruthven, and F. Crestani, Bayesian latent variable models for collaborative item rating prediction, Proceedings of the 20th ACM International Conference on Information and Knowledge Management, CIKM '11, pp.699-708, 2011.

H. Seyyed, J. Hashemi, and . Kamps, Where to go next?: Exploiting behavioral user models in smart environments, Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, UMAP '17, pp.50-58, 2017.

J. He, X. Li, L. Liao, D. Song, and W. K. Cheung, Inferring a personalized next point-of-interest recommendation model with latent behavior patterns, Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, pp.137-143, 2016.

J. He, X. Li, and L. Liao, Category-aware next pointof-interest recommendation via listwise bayesian personalized ranking, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, pp.1837-1843, 2017.

D. Herzog, Recommending a sequence of points of interest to a group of users in a mobile context, Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys '17, pp.402-406, 2017.

L. Hu, A. Sun, and Y. Liu, Your neighbors affect your ratings: On geographical neighborhood influence to rating prediction, Proc. of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SI-GIR '14, pp.345-354, 2014.

R. Hu and P. Pu, Enhancing collaborative filtering systems with personality information, Proceedings of the Fifth ACM Conference on Recommender Systems, RecSys '11, pp.197-204, 2011.

Y. Hu, Y. Koren, and C. Volinsky, Collaborative filtering for implicit feedback datasets, Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, ICDM '08, p.10, 2008.

/. Icdm, , vol.22, 2008.

X. Ji, Z. Qiao, M. Xu, P. Zhang, C. Zhou et al., Online event recommendation for event-based social networks, Proceedings of the 24th International Conference on World Wide Web, WWW '15 Companion, pp.45-46, 2015.

K. Kaneiwa, M. Iwazume, and K. Fukuda, An upper ontology for event classifications and relations, Proc. of the 20th Australian Joint Conference on Advances in Artificial Intelligence, AI'07, pp.394-403, 2007.

T. T. Raghav-pavan-karumur, J. A. Nguyen, and . Konstan, Exploring the value of personality in predicting rating behaviors: A study of category preferences on movielens, Proc. of the 10th ACM Conference on Recommender Systems, RecSys '16, pp.139-142, 2016.

Y. Koren and R. M. Bell, Advances in collaborative filtering, Recommender Systems Handbook, pp.77-118, 2015.

D. H. Lee and P. Brusilovsky, Recommending talks at research conferences using users' social networks, Int. J. Cooperative Inf. Syst, vol.23, issue.2, 2014.

X. Li, M. Jiang, H. Hong, and L. Liao, A timeaware personalized point-of-interest recommendation via highorder tensor factorization, ACM Trans. Inf. Syst, vol.35, issue.4

X. Li, G. Cong, X. Li, T. Pham, and S. Krishnaswamy, Rank-geofm: A ranking based geographical factorization method for point of interest recommendation, Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '15, pp.433-442, 2015.

H. Kwan, J. Lim, C. Chan, S. Leckie, and . Karunasekera, Personalized tour recommendation based on user interests and points of interest visit durations, Proceedings of the 24th International Conference on Artificial Intelligence, IJCAI'15, pp.1778-1784, 2015.

H. Kwan, J. Lim, C. Chan, S. Leckie, and . Karunasekera, Towards next generation touring: Personalized group tours, Proc. of the Twenty-Sixth International Conference on Automated Planning and Scheduling, ICAPS'16, pp.412-420, 2016.

H. Liu, J. Xu, K. Zheng, C. Liu, L. Du et al., Semantic-aware query processing for activity trajectories, Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM '17, pp.283-292, 2017.

X. Liu, Y. Liu, K. Aberer, and C. Miao, Personalized point-of-interest recommendation by mining users' preference transition, Proc. of the 22nd ACM International Conference on Information & Knowledge Management, CIKM '13, pp.733-738, 2013.

X. Liu, Q. He, Y. Tian, W. Lee, J. Mcpherson et al., Event-based social networks: Linking the online and offline social worlds, Proc. of the 18th ACM SIGKDD conference on Knowledge Discovery and Data Mining, p.12, 2012.

Y. Liu, W. Wei, A. Sun, and C. Miao, Exploiting geographical neighborhood characteristics for location recommendation, Proc. of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM '14, pp.739-748, 2014.

P. Lops, G. Marco-de-gemmis, and . Semeraro, Content-based Recommender Systems: State of the Art and Trends, pp.73-105, 2011.

A. Q. Macedo, L. B. Marinho, L. T. Rodrygo, and . Santos, Context-aware event recommendation in event-based social networks, Proc. of the 9th ACM Conference on Rec-336

, ommender Systems, RecSys '15, pp.123-130, 2015.

S. Marrara, G. Pasi, and M. Viviani, Aggregation operators in information retrieval, Fuzzy Sets and Systems, vol.324, pp.3-19, 2017.

J. Masthoff and A. Gatt, In pursuit of satisfaction and the prevention of embarrassment: Affective state in group recommender systems, User Modeling and User-Adapted Interaction, vol.16, issue.3-4, pp.281-319, 2006.

R. Robert, O. P. Mccrae, and . John, An introduction to the five-factor model and its applications, Journal of Personality, vol.60, issue.2, pp.175-215, 1992.

M. G. Meloy, Mood-driven distortion of product information, Journal of Consumer Research, vol.27, pp.345-359, 2000.

E. Minkov, B. Charrow, J. Ledlie, S. Teller, and T. Jaakkola, Collaborative future event recommendation, Proc. of the 19th ACM International Conference on Information and Knowledge Management, CIKM '10, pp.819-828, 2010.

C. Mooney and J. F. Roddick, Sequential pattern mining -approaches and algorithms, ACM Comput. Surv, vol.45, issue.2

A. Mottini and R. Acuna-agost, Deep choice model using pointer networks for airline itinerary prediction, Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '17, pp.1575-1583, 2017.

X. Ning, C. Desrosiers, and G. Karypis, A comprehensive survey of neighborhood-based recommendation methods, Recommender Systems Handbook, pp.37-76, 2015.

. Nist and . Trec, contextual suggestion track guidelines, 2015.

S. Niu and R. Zhang, Collaborative sequence prediction for sequential recommender, Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM '17, pp.2239-2242, 2017.

D. Nurbakova, Recommendation of activity sequences during distributed events, Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, pp.261-264, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01875718

D. Nurbakova, L. Laporte, S. Calabretto, and J. Gensel, ANASTASIA : recommandation de séquences d'activités spatiotemporelles, CORIA 2016 -13th French Information Retrieval Conference, pp.325-334, 2016.

D. Nurbakova, L. Laporte, S. Calabretto, and J. Gensel, Users psychological profiles for leisure activity recommendation: user study, Proceedings of International Workshop on Citizens for Recommender Systems, vol.3, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01574704

D. Nurbakova, L. Laporte, S. Calabretto, and J. Gensel, Recommendation of short-term activity sequences during distributed events, International Conference on Computational Science, vol.108, pp.12-14, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01936776

D. Nurbakova, L. Laporte, S. Calabretto, and J. Gensel, Itinerary recommendation for cruises: User study, Proceedings of the Workshop on Recommenders in Tourism colocated with 11th ACM Conference on Recommender Systems, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01577228

D. Nurbakova, L. Laporte, S. Calabretto, and J. Gensel, Recommandation de séquences d'activités lors d'évènements distribués, CORIA 2018 -15th French Information Retrieval Conference

D. Nurbakova, L. Laporte, S. Calabretto, and J. Gensel, Devir: Data collection and analysis for the recommendation of events and itineraries (in press), 52nd Hawaii International Conference on System Sciences, HICSS 2019, 2019.

K. Oatley and J. M. Jenkins, Understanding Emotions. Wiley, 1996.

A. Paterek, Improving regularized singular value decomposition for collaborative filtering, Proceedings of KDD Cup and Workshop, pp.39-42, 2007.

C. Peterson, N. Park, and M. E. Seligman, Orientations to happiness and life satisfaction: the full life versus the empty life, Journal of Happiness Studies, vol.6, issue.1, pp.25-41, 2005.

A. K. Przybylski, K. Murayama, C. R. Dehaan, and V. Gladwell, Motivational, emotional, and behavioral correlates of fear of missing out, Computers in Human Behavior, vol.29, issue.4, pp.1841-1848, 2013.

Z. Qiao, P. Zhang, Y. Cao, C. Zhou, L. Guo et al., Combining heterogenous social and geographical information for event recommendation, Proc. of the 28th AAAI Conference on Artificial Intelligence, pp.145-151, 2014.

M. Quadrana, P. Cremonesi, and D. Jannach, Sequence-aware recommender systems, ACM Comput. Surv, vol.51, issue.4, 2018.

A. Rae, V. Murdock, A. Popescu, and H. Bouchard, Mining the web for points of interest, Proc. of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '12, pp.711-720, 2012.

V. Rakesh, N. Jadhav, A. Kotov, and C. K. Reddy, Probabilistic social sequential model for tour recommendation, Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM '17, pp.631-640, 2017.

S. Rani, S. N. Kartika-nur-kholidah, and . Huda, A development of travel itinerary planning application using traveling salesman problem and k-means clustering approach, Proceedings of the 2018 7th International Conference on Software and Computer Applications, ICSCA 2018, pp.327-331, 2018.

L. Ravi and S. Vairavasundaram, A collaborative location based travel recommendation system through enhanced rating prediction for the group of users, 2016.

F. Ricci, L. Rokach, and B. Shapira, Introduction to Recommender Systems Handbook, pp.1-35, 2011.

S. Rossi, F. Barile, C. Galdi, and L. Russo, Recommendation in museums: paths, sequences, and group satisfaction maximization. Multimedia Tools and Applications, p.341

, , 2017.

A. Sadri, F. D. Salim, and Y. Ren, Full trajectory prediction: What will you do the rest of the day?, Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, UbiComp '17, pp.189-192, 2017.

J. Sang, T. Mei, and C. Xu, Activity sensor: Check-in usage mining for local recommendation, ACM Trans. Intell. Syst. Technol, vol.6, issue.3, 2015.

R. Schaller, Planning and navigational assistance for distributed events, Proceedings of the 2nd Workshop on Context Aware Intelligent Assistance, pp.44-56, 2011.

R. Schaller, Mobile tourist guides: Bridging the gap between automation and users retaining control of their itineraries, Proceedings of the 5th Information Interaction in Context Symposium, IIiX '14, pp.320-323, 2014.

R. Schaller, M. Harvey, and D. Elsweiler, Entertainment on the go: Finding things to do and see while visiting distributed events, Proceedings of the 4th Information Interaction in Context Symposium, IIIX '12, pp.90-99, 2012.

R. Schaller, M. Harvey, and D. Elsweiler, Recsys for distributed events: Investigating the influence of recommendations on visitor plans, Proc. of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '13, pp.953-956, 2013.

R. Schaller, M. Harvey, and D. Elsweiler, Relating user interaction to experience during festivals, Proceedings of the 5th Information Interaction in Context Symposium, IIiX '14, pp.38-47, 2014.

F. Sebastiani, Machine learning in automated text categorization, ACM Comput. Surv, vol.34, issue.1, pp.1-47, 2002.

D. A. Shamma, One hundred million creative commons flickr images for research, 2014.

G. Shani and A. Gunawardana, Evaluating Recommendation Systems, pp.257-297, 2011.

M. M. Solomon, Algorithms for the vehicle routing and scheduling problems with time window constraints, Oper. Res, vol.35, issue.2, pp.254-265, 1987.

L. Hoang and S. , Dealing with the new user cold-start problem in recommender systems: A comparative review, Information Systems, vol.58, pp.87-104, 2016.

W. Souffriau, P. Vansteenwegen, D. Greet-vanden-berghe, and . Van-oudheusden, The multiconstraint team orienteering problem with multiple time windows, Transportation Science, vol.47, issue.1, pp.53-63, 2013.

J. Tang and K. Wang, Personalized top-n sequential recommendation via convolutional sequence embedding, Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM '18, pp.565-573, 2018.

K. Taylor, H. Kwan, J. Lim, and . Chan, Travel itinerary recommendations with must-see points-of-interest, Companion Proceedings of the The Web Conference 2018, WWW '18, pp.1198-1205, 2018.

B. Thomee, D. A. Shamma, G. Friedland, B. Elizalde, K. Ni et al., Yfcc100m: The new data in multimedia research, Commun. ACM, vol.59, issue.2, pp.64-73, 2016.

D. Tkaczyk, A. Collins, P. Sheridan, and J. Beel, Evaluation and comparison of open source bibliographic reference parsers: A business use case, 2018.

M. Tkalcic, M. Kunaver, A. Ko?ir, and J. Tasic, Addressing the new user problem with a personality based user similarity measure

M. Tkalcic, G. Marco-de-gemmis, and . Semeraro, Personality and emotions in decision making and recommender systems, Proc. of the First International Workshop on Decision Making and Recommender Systems, DMRS'14, pp.14-18, 2014.

P. Vansteenwegen and W. Souffriau, Trip planning functionalities: State of the art and future, J. of IT & Tourism, vol.12, issue.4, pp.305-315, 2010.

P. Vansteenwegen, W. Souffriau, D. Greet-vanden-berghe, and . Van-oudheusden, Iterated local search for the team orienteering problem with time windows, Comput. Oper. Res, vol.36, issue.12, pp.3281-3290, 2009.

P. Vansteenwegen, W. Souffriau, and D. Van-oud, , p.345

, The orienteering problem: A survey, European Journal of Operational Research, vol.209, issue.1, pp.1-10, 2011.

P. Varakantham, H. Mostafa, N. Fu, and H. Lau, Direct: A scalable approach for route guidance in selfish orienteering problems, Proc. of the 2015 International Conference on Autonomous Agents and Multiagent Systems, AAMAS '15, pp.483-491, 2015.

C. Verbeeck, K. Sörensen, E. Aghezzaf, and P. Vansteenwegen, A fast solution method for the time-dependent orienteering problem, European Journal of Operational Research, vol.236, issue.2, pp.419-432, 2014.

C. Verbeeck, . El-houssaine, P. Aghezzaf, and . Vansteenwegen, Solving the stochastic time-dependent orienteering problem, 10ème Conférence Internationale Francophone de Modélisation et Simulation (MOSIM '14) : from linear to circular economy, Proceedings, p.10, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01166656

W. Wang, H. Yin, S. Sadiq, L. Chen, M. Xie et al., Spore: A sequential personalized spatial item recommender system, 2016 IEEE 32nd International Conference on Data Engineering (ICDE), pp.954-965, 2016.

W. Wang, H. Yin, L. Chen, Y. Sun, S. Sadiq et al., Geo-sage: A geographical sparse additive generative model for spatial item recommendation, Proc. of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '15, pp.1255-1264, 2015.

X. Wang, C. Leckie, J. Chan, H. Kwan, T. Lim et al., Improving personalized trip recommendation by avoiding crowds, Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM '16, pp.25-34, 2016.

Z. Wang, P. He, L. Shou, K. Chen, S. Wu et al., Proceedings, chapter Toward the New Item Problem: Context-Enhanced Event Recommendation in EventBased Social Networks, Advances in Information Retrieval: 37th European Conference on IR Research, pp.333-338, 2015.

W. Wu and L. Chen, Implicit acquisition of user personality for augmenting movie recommendations, Proc. of 23rd International Conference on the User Modeling, Adaptation and Personalization, UMAP'15, pp.302-314, 2015.

D. Yang, D. Zhang, L. Chen, and B. Qu, Nationtelescope: Monitoring and visualizing large-scale collective behavior in lbsns, Journal of Network and Computer Applications, vol.55, pp.170-180, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01259906

D. Yang, D. Zhang, and B. Qu, Participatory cultural mapping based on collective behavior data in locationbased social networks, ACM TIST, vol.7, issue.3, p.30, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01346717

J. Yang, I. Cantador, D. Nurbakova, E. María, A. Cortés-cediel et al., Recommender systems for citizens: the citrec'17 workshop manifesto, Proceedings of International Workshop on Citizens for Recommender Systems, CitRec@RecSys, vol.1, pp.1-1, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01723007

P. Yang, H. Wang, H. Fang, and D. Cai, Opinions matter: A general approach to user profile modeling for contextual suggestion, Inf. Retr, vol.18, issue.6, pp.586-610, 2015.

H. Yin and B. Cui, Spatial context-aware recommendation, Spatio-Temporal Recommendation in Social Media, pp.41-63, 2016.

X. Hongzhi-yin, Y. Zhou, H. Shao, S. Wang, and . Sadiq, Joint modeling of user check-in behaviors for point-of-interest recommendation, Proc. of the 24th ACM International on Conference on Information and Knowledge Management, CIKM '15, pp.978-979, 2015.

F. Yu, Z. Li, S. Jiang, and X. Yang, Personalized POI Groups Recommendation in Location-Based Social Networks, pp.114-123, 2017.

Y. Yu and X. Chen, A survey of pointof-interest recommendation in location-based social networks, Trajectory-Based Behavior Analytics: Papers from the 2015 AAAI Workshop, pp.53-60, 2015.

Z. Yu, H. Xu, Z. Yang, and B. Guo, Personalized travel package with multi-point-of-interest recommendation based on crowdsourced user footprints, IEEE Trans Hum Mach Syst, vol.46, issue.1, pp.151-158, 2016.

W. Zheng and X. Xie, Geolife: A collaborative social networking service among user, location and trajectory, 2010.

Y. Zheng and Q. Li, Understanding mobility based on gps data, Ubicomp, 2008.

Q. Yuan, G. Cong, and A. Sun, Graph-based point-ofinterest recommendation with geographical and temporal influences, Proc. of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM '14, pp.659-668, 2014.

C. Zhang, H. Liang, K. Wang, and J. Sun, Personalized trip recommendation with poi availability and uncertain traveling time, Proc. of the 24th ACM International on Conference on Information and Knowledge Management, CIKM '15, pp.911-920, 2015.

J. Zhang and C. Chow, Geosoca: Exploiting geographical, social and categorical correlations for point-ofinterest recommendations, Proc. of the 38th International, vol.349

, ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '15, pp.443-452, 2015.

J. Zhang and C. Chow, Spatiotemporal sequential influence modeling for location recommendations: A gravitybased approach, ACM Trans. Intell. Syst. Technol, vol.7, issue.1, 2015.

J. Zhang and C. Chow, Point-of-interest recommendations in location-based social networks, SIGSPATIAL Special, vol.7, issue.3, pp.26-33, 2016.

J. Zhang, C. Chow, and Y. Li, Lore: Exploiting sequential influence for location recommendations, Proceedings of the 22Nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPA-TIAL '14, pp.103-112, 2014.

W. Zhang and J. Wang, A collective bayesian poisson factorization model for cold-start local event recommendation, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '15, pp.1455-1464, 2015.

Y. Zheng, Location-Based Social Networks: Users, pp.243-350

, , pp.978-979, 2011.

Y. Zheng, Trajectory data mining: An overview, ACM Trans. Intell. Syst. Technol, vol.6, issue.3, 2015.

Y. Zheng, L. Zhang, X. Xie, and W. Ma, Mining interesting locations and travel sequences from gps trajectories, Proc. of the 18th International Conference on World Wide Web, WWW '09, pp.791-800, 2009.