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Rocchio Algorithm to Enhance Semantically Collaborative Filtering

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Web Information Systems and Technologies (WEBIST 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 226))

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Abstract

Recommender system provides relevant items to users from huge catalogue. Collaborative filtering and content-based filtering are the most widely used techniques in personalized recommender systems. Collaborative filtering uses only the user-ratings data to make predictions, while content-based filtering relies on semantic information of items for recommendation. Hybrid recommendation system combines the two techniques. In this paper, we present another hybridization approach: User Semantic Collaborative Filtering. The aim of our approach is to predict users preferences for items based on their inferred preferences for semantic information of items. In this aim, we design a new user semantic model to describe the user preferences by using Rocchio algorithm. Due to the high dimension of item content, we apply a latent semantic analysis to reduce the dimension of data. User semantic model is then used in a user-based collaborative filtering to compute prediction ratings and to provide recommendations. Applying our approach to real data set, the MoviesLens 1M data set, significant improvement can be noticed compared to usage only approach, content based only approach.

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Author information

Authors and Affiliations

  1. LORIA-KIWI Team, Lorraine University, Nancy, France

    Sonia Ben Ticha, Azim Roussanaly & Anne Boyer

  2. LIPA Lab, Tunis El Manar University, Tunis, Tunisia

    Sonia Ben Ticha & Khaled Bsaïes

Authors
  1. Sonia Ben Ticha
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  2. Azim Roussanaly
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  3. Anne Boyer
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  4. Khaled Bsaïes
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Corresponding author

Correspondence to Sonia Ben Ticha .

Editor information

Editors and Affiliations

  1. University of Paris, Paris, Paris, France

    Valérie Monfort

  2. RWTH Aachen University, Aachen, Germany

    Karl-Heinz Krempels

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Ben Ticha, S., Roussanaly, A., Boyer, A., Bsaïes, K. (2015). Rocchio Algorithm to Enhance Semantically Collaborative Filtering. In: Monfort, V., Krempels, KH. (eds) Web Information Systems and Technologies. WEBIST 2014. Lecture Notes in Business Information Processing, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-27030-2_19

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  • DOI: https://doi.org/10.1007/978-3-319-27030-2_19

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-27030-2

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