Factorization vs. regularization: Fusing heterogeneous social relationships in top-N recommendation

Quan Yuan*, Li CHEN, Shiwan Zhao

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

90 Citations (Scopus)

Abstract

Collaborative Filtering (CF) based recommender systems often suffer from the sparsity problem, particularly for new and inactive users when they use the system. The emerging trend of social networking sites and their accommodation in other sites like e-commerce can potentially help alleviate the sparsity problem with their provided social relation data. In this paper, we have particularly explored a new kind of social relation, the membership, and its combined effect with friendship. The two type of heterogeneous social relations are fused into the CF recommender via a factorization process. Due to the two relations' respective properties, we adopt different fusion strategies: regularization was leveraged for friendship and collective matrix factorization (CMF) was proposed for incorporating membership. We further developed a unified model to combine the two relations together and tested it with real large-scale datasets at five sparsity levels. The experiment has not only revealed the significant effect of the two relations, especially the membership, in augmenting recommendation accuracy in the sparse data condition, but also identified the ability of our fusing model in achieving the desired fusion performance.

Original languageEnglish
Title of host publicationRecSys'11 - Proceedings of the 5th ACM Conference on Recommender Systems
Pages245-252
Number of pages8
DOIs
Publication statusPublished - 2011
Event5th ACM Conference on Recommender Systems, RecSys 2011 - Chicago, IL, United States
Duration: 23 Oct 201127 Oct 2011

Publication series

NameRecSys'11 - Proceedings of the 5th ACM Conference on Recommender Systems

Conference

Conference5th ACM Conference on Recommender Systems, RecSys 2011
Country/TerritoryUnited States
CityChicago, IL
Period23/10/1127/10/11

Scopus Subject Areas

  • Computer Graphics and Computer-Aided Design
  • Information Systems

User-Defined Keywords

  • factorization
  • friendship
  • membership
  • regularization
  • social relationships

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