Skip to Main content Skip to Navigation
Conference papers

A Collaborative Document Ranking Model for a Multi-faceted Search

Laure Soulier 1 Lynda Tamine 1 Wahiba Bahsoun 1
1 IRIT-SIG - Systèmes d’Informations Généralisées
IRIT - Institut de recherche en informatique de Toulouse
Abstract : This paper presents a novel collaborative document ranking model which aims at solving a complex information retrieval task in-volving a multi-faceted information need. For this purpose, we consider a group of users, viewed as experts, who collaborate by addressing the different query facets. We propose a two-step algorithm based on a rele-vance feedback process which first performs a document scoring towards each expert and then allocates documents to the most suitable experts using the Expectation-Maximisation learning-method. The performance improvement is demonstrated through experiments using TREC inter-active benchmark.
Document type :
Conference papers
Complete list of metadata

Cited literature [24 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01110710
Contributor : Laure Soulier <>
Submitted on : Wednesday, January 28, 2015 - 5:35:45 PM
Last modification on : Thursday, March 18, 2021 - 2:18:52 PM
Long-term archiving on: : Wednesday, April 29, 2015 - 11:20:46 AM

File

submission.pdf
Files produced by the author(s)

Licence


Copyright

Identifiers

Citation

Laure Soulier, Lynda Tamine, Wahiba Bahsoun. A Collaborative Document Ranking Model for a Multi-faceted Search. 9th Asia Information Retrieval Societies Conference, AIRS 2013, Dec 2013, Singapour, Singapore. pp.109 - 120, ⟨10.1007/978-3-642-45068-6_10⟩. ⟨hal-01110710⟩

Share

Metrics

Record views

334

Files downloads

786