Case-studies on exploiting explicit customer requirements in recommender systems

User Modeling and User-Adapted Interaction

Volumn 19, Issue 1-2 SPEC. ISS., 2009, Pages 133-166

  Zanker, Markus ^a   Jessenitschnig, Markus ^a  

^a UNIVERSITY OF KLAGENFURT   (Austria)

Author keywords

Cold start recommendation problem; Comparative evaluation; Electronic commerce; Hybrid recommender systems

Indexed keywords

ASSOCIATION RULE MININGS; CASE-STUDIES; CLICKSTREAM DATUM; COLD-START RECOMMENDATION PROBLEM; COLLABORATIVE FILTERING; COMPARATIVE EVALUATION; CONVERSION RATES; CUSTOMER REQUIREMENTS; E COMMERCES; HYBRID CONFIGURATIONS; HYBRID RECOMMENDER SYSTEMS; ONLINE SHOPS; PERSONALIZATION; USER FEEDBACKS; USER INFORMATIONS; USER MODELS; USER SATISFACTIONS;

ASSOCIATIVE PROCESSING; COMMERCE; CUSTOMER SATISFACTION; DATA MINING; ELECTRONIC COMMERCE; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE BASED SYSTEMS; ONLINE SYSTEMS; RAPID SOLIDIFICATION; SALES; STARTING;

HYBRID SYSTEMS;

EID: 58849112631     PISSN: 09241868     EISSN: 15731391     Source Type: Journal    
DOI: 10.1007/s11257-008-9048-y     Document Type: Article

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