 |
Conference papers
User-centric Trust-based Recommendation
Abstract : Recommender Systems are widely used to achieve a pre-selection of items among a constantly growing variety of items. Last generation of recommender systems take into account trust between users. In this article, we propose several trust-based recommendation formulas that keep centered around the end- user and thus restrict information sharing to the user vicinity. Our proposed RS does not need any global knowledge : it limits data exchange to trusted friendship relations. A comparison of the proposed recommendation formulas with more classical ones is finally proposed, based on two kinds of simulation.
https://hal.archives-ouvertes.fr/hal-01010232
Contributor : Frédérique Laforest <>
Submitted on : Thursday, June 19, 2014 - 2:02:03 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:07 PM
Contributor : Frédérique Laforest <>
Submitted on : Thursday, June 19, 2014 - 2:02:03 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:07 PM