Transparent user models for personalization

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2012, Pages 678-686

  El Arini, Khalid ^a   Paquet, Ulrich ^b   Herbrich, Ralf ^c   Van Gael, Jurgen ^d   Agüera Y Arcas, Blaise ^e  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b MICROSOFT RESEARCH   (United Kingdom)

^c FACEBOOK   (United States)

^d Rangespan Ltd   (United Kingdom)

^e MICROSOFT   (United States)

Author keywords

graphical models; personalization; transparency; Twitter

Indexed keywords

FEATURE SETS; GENERATIVE MODEL; GRAPHICAL MODEL; HIGH PRECISION; MICROBLOGGING; PERSONALIZATIONS; PERSONALIZED RECOMMENDATION; TWITTER; USER MODELS;

DATA MINING; FRUITS; SOCIAL NETWORKING (ONLINE); TRANSPARENCY;

BEHAVIORAL RESEARCH;

EID: 84866006442     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2339530.2339639     Document Type: Conference Paper

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