A topical PageRank based algorithm for recommender systems

ACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings

Volumn , Issue , 2008, Pages 713-714

  Zhang, Liyan ^a   Zhang, Kai ^a   Li, Chunping ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Recommender system; Topical PageRank

Indexed keywords

RECOMMENDER SYSTEM; RECOMMENDER SYSTEMS; TOPICAL PAGERANK;

INFORMATION RETRIEVAL SYSTEMS; INFORMATION SERVICES; RESEARCH AND DEVELOPMENT MANAGEMENT;

INFORMATION RETRIEVAL;

EID: 57349109289     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390334.1390465     Document Type: Conference Paper

References (3)

1. F. Fouss, A. Pirotte, and M. Saerens. A novel way of Computing similarities between nodes of a graph, with application to collaborative recommendation. In Web Intelligence, pages 550-556, 2005.
2. M. Gori and A. Pucci. Research paper recommender systems: A random-walk based approach. In Web Intelligence, pages 778-781, 2006.
3. L. Nie, B. D. Davison, and X. Qi. Topical link analysis for web search. In SIGIR, pages 91-98, 2006.