Using social annotations to enhance document representation for personalized search

Author:

BOUADJENEK Mohamed Reda1,Hacid Hakim2,Bouzeghoub Mokrane1,Vakali Athena3

Affiliation:

1. PRiSM Laboratory, Versailles University, Versailles, France

2. SideTrade, France, Boulogne-Billancourt, France

3. Aristotle University of Thessaloniki, Thessaloniki, Greece

Publisher

ACM

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Multi-Domain Benchmark for Personalized Search Evaluation;Proceedings of the 31st ACM International Conference on Information & Knowledge Management;2022-10-17

2. Integrating social annotations into topic models for personalized document retrieval;Soft Computing;2019-04-24

3. Social Annotation for Query Expansion Learning from Multiple Expansion Strategies;Communications in Computer and Information Science;2017

4. Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling;Proceedings of the 25th ACM International on Conference on Information and Knowledge Management;2016-10-24

5. Folksonomy-based personalized search by hybrid user profiles in multiple levels;Neurocomputing;2016-09

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