Supporting domain analysis through mining and recommending features from online product listings

IEEE Transactions on Software Engineering

Volumn 39, Issue 12, 2013, Pages 1736-1752

  Hariri, Negar ^a   Castro Herrera, Carlos ^b   Mirakhorli, Mehdi ^a   Cleland Huang, Jane ^a   Mobasher, Bamshad ^a  

^a DEPAUL UNIVERSITY   (United States)

^b GOOGLE INC   (United States)

Author keywords

association rule mining; clustering; Domain analysis; k nearest neighbor; recommender systems

Indexed keywords

CLUSTERING; COLLABORATIVE SOFTWARES; DOMAIN ANALYSIS; K-NEAREST NEIGHBORS; MACHINE LEARNING METHODS; POTENTIAL FEATURES; RECOMMENDATION ALGORITHMS; REQUIREMENTS PROCESS;

ALGORITHMS; DATA MINING; GROUPWARE; LEARNING SYSTEMS;

RECOMMENDER SYSTEMS;

EID: 84890102439     PISSN: 00985589     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSE.2013.39     Document Type: Article

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