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[GCd18] An Homophily-based Approach for Fast Post Recommendation in Microblogging Systems
Conférence Internationale avec comité de lecture : EDBT, March 2018, pp.1--12, Vienna, Austria,Mots clés: Recommender, Collaborative Filtering, Twitter, homophily, Microblogging Systems
Résumé:
With the unprecedented growth of user-generated content pro- duced on microblogging platforms, nding interesting content for a given user has become a major issue. However due to the intrinsic properties of microblogging systems, such as the vol- umetry, the short lifetime of posts and the sparsity of interactions between users and content, recommender systems can not rely on traditional methods, such as collaborative ltering matrix factorization. After a thorough study of a large Twitter dataset, we present a propagation model which relies on homophily to propose post recommendations. Our approach relies on the con- struction of a similarity graph based on retweet behaviors on top of the Twitter graph. Finally we conduct experiments on our real dataset to demonstrate the quality and scalability of our method.
Collaboration:
LIP6
BibTeX
| @inproceedings { | |||
| GCd18, | |||
| title | = | "{An Homophily-based Approach for Fast Post Recommendation in Microblogging Systems}", | |
| author | = | " Q. Grossetti and C. Constantin and C. du Mouza and N. Travers ", | |
| booktitle | = | "{EDBT}", | |
| year | = | 2018, | |
| edition | = | "2018", | |
| month | = | "March", | |
| pages | = | "1--12", | |
| address | = | "Vienna, Austria", | |
| } | |||
