Web services & recommender systems : a research roadmap

Leandro Krug Wives (1) , Zakaria Maamar (2) , Samir Tata (3, 4, 5, 6) , Mohamed Sellami (4, 5, 6) , José Palazzo Moreira de Oliveira (1)

1 UFRGS - Instituto de Informática da UFRGS
2 CIS - College of Information Systems (Zayed University)
3 ACMES-SAMOVAR - Architecture, Cloud continuum, formal Models, artificial intElligence and Services in distributed computing
4 TSP - INF - Département Informatique
5 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
6 CNRS - Centre National de la Recherche Scientifique

In this position paper we provide a brief overview of Recommender Systems (RS) and Web Services (WS). After, we propose a research roadmap for the challenges and opportunities that could arise following the combined use of WS and RS. While these challenges are expected to hinder this use, we discuss the neces-sary actions that need to be taken to overcome these challenges and hence, make this use a win-win situa-tion for both WS and RS. We illustrate how the combination of RS to WS takes place in terms of what RS can do for WS and what WS can do for RS. Finally, we conclude by pointing out the actions to take so that this combination turns out successful

Mots clés: Web services; Recommender system; Research roadmap

Domaines: Web

Leandro Krug Wives, Zakaria Maamar, Samir Tata, Mohamed Sellami, José Palazzo Moreira de Oliveira. Web services & recommender systems : a research roadmap. WEBIST 2010 : 6th International Conference on Web Information Systems and Technologies, Apr 2010, Valencia, Spain. pp.119 - 124, ⟨10.5220/0002840601190124⟩. ⟨hal-01356337⟩