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Lecture Notes in Computer Science
The quality of user modeling is crucial for personalized recommender systems. Traditional within-site recommender systems aim at modeling user preferences using only actions within target site, thus suffer from cold-start problem. To alleviate such problem, researchers propose cross-domain models to leverage user actions from other domains within same site. Joint user modeling is later proposed to further integrate user actions from aligned sites for data enrichment. However, there are stilldoi:10.1007/978-3-319-71249-9_48 fatcat:dxfmmoo6jvd5dbixhtov4k3x2a