User Semantic Model for Dependent Attributes to Enhance Collaborative Filtering

Sonia Ben Ticha, Azim Roussanaly, Anne Boyer, Khaled Bsaïes

2014

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. The aim of this work is to introduce a new approach for semantically enhanced collaborative filtering. Many works have addressed this problem by proposing hybrid solutions. In this paper, we present another hybridization technique that predicts users preferences for items based on their inferred preferences for semantic information of items. For this, we design a new user semantic model by using Rocchio algorithm and we apply a latent semantic analysis to reduce the dimension of data. Applying our approach to real data, the MoviesLens 1M dataset, significant improvement can be noticed compared to usage only approach, and hybrid algorithm.

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Paper Citation


in Harvard Style

Ben Ticha S., Roussanaly A., Boyer A. and Bsaïes K. (2014). User Semantic Model for Dependent Attributes to Enhance Collaborative Filtering . In Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-989-758-024-6, pages 205-212. DOI: 10.5220/0004951102050212


in Bibtex Style

@conference{webist14,
author={Sonia Ben Ticha and Azim Roussanaly and Anne Boyer and Khaled Bsaïes},
title={User Semantic Model for Dependent Attributes to Enhance Collaborative Filtering},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2014},
pages={205-212},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004951102050212},
isbn={978-989-758-024-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - User Semantic Model for Dependent Attributes to Enhance Collaborative Filtering
SN - 978-989-758-024-6
AU - Ben Ticha S.
AU - Roussanaly A.
AU - Boyer A.
AU - Bsaïes K.
PY - 2014
SP - 205
EP - 212
DO - 10.5220/0004951102050212