English

Situation-Aware Approach to Improve Context-based Recommender System

Information Retrieval 2014-04-01 v2

Abstract

In this paper, we introduce a novel situation aware approach to improve a context based recommender system. To build situation aware user profiles, we rely on evidence issued from retrieval situations. A retrieval situation refers to the social spatio temporal context of the user when he interacts with the recommender system. A situation is represented as a combination of social spatio temporal concepts inferred from ontological knowledge given social group, location and time information. User's interests are inferred from past user's interaction with the recommender system related to the identified situations. They are represented using concepts issued from a domain ontology. We also propose a method to dynamically adapt the system to the user's interest's evolution.

Keywords

Cite

@article{arxiv.1303.0481,
  title  = {Situation-Aware Approach to Improve Context-based Recommender System},
  author = {Djallel Bouneffouf},
  journal= {arXiv preprint arXiv:1303.0481},
  year   = {2014}
}
R2 v1 2026-06-21T23:35:40.870Z