Sequential Collaborative Ranking Using (No-)Click Implicit Feedback

Guillou, Frédéric; Gaudel, Romaric; Preux, Philippe

Document type :

Communication dans un congrès avec actes

DOI :

10.1007/978-3-319-46672-9_33

Title :

Sequential Collaborative Ranking Using (No-)Click Implicit Feedback

Author(s) :

Guillou, Frédéric [Auteur]
Sequential Learning [SEQUEL]
Gaudel, Romaric [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Sequential Learning [SEQUEL]
Preux, Philippe [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Sequential Learning [SEQUEL]

Conference title :

The 23rd International Conference on Neural Information Processing (ICONIP'16)

City :

Kyoto

Country :

Japon

Start date of the conference :

2016-10-16

Journal title :

Lecture Notes in Computer Science

Publication date :

2016

English keyword(s) :

Recommender Systems
Sequential Recommendation
Learning to Rank
Implicit Feedback

HAL domain(s) :

Informatique [cs]/Apprentissage [cs.LG]

English abstract : [en]

We study Recommender Systems in the context where they suggest a list of items to users. Several crucial issues are raised in such a setting: first, identify the relevant items to recommend; second, account for the feedback ...
Show more >We study Recommender Systems in the context where they suggest a list of items to users. Several crucial issues are raised in such a setting: first, identify the relevant items to recommend; second, account for the feedback given by the user after he clicked and rated an item; third, since new feedback arrive into the system at any moment, incorporate such information to improve future recommendations. In this paper, we take these three aspects into consideration and present an approach handling click/no-click feedback information. Experiments on real-world datasets show that our approach outperforms state of the art algorithms.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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