A Random Walk Based Model Incorporating Social Information for Recommendations

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Volumn , Issue , 2012, Pages

  Shang, Shang ^a   Kulkarni, Sanjeev R ^a   Cuff, Paul W ^a   Hui, Pan ^b  

^a Princeton University   (United States)

^b DEUTSCHE TELEKOM LABORATORIES   (Germany)

Author keywords

hybrid collaborative filtering model; random walk; Recommendation system; social networks

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIRECTED GRAPHS; GRAPH THEORY; GRAPHIC METHODS; LEARNING SYSTEMS; RANDOM PROCESSES; RECOMMENDER SYSTEMS; SIGNAL PROCESSING; SOCIAL NETWORKING (ONLINE);

COLD START PROBLEMS; DATA SPARSITY; GRAPH-BASED METHODS; PERSONALIZED RECOMMENDATION; RANDOM WALK; SOCIAL INFORMATION; SOCIAL NETWORK INFORMATIONS; USER PROFILE;

COLLABORATIVE FILTERING;

EID: 84870673353     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2012.6349732     Document Type: Conference Paper

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