Multi-factor clustering for a marketplace search interface

Search engines provide a small window to the vast repository of data they index and against which they search. They try their best to return the documents that are of relevance to the user but often a large number of results may be returned. Users struggle to manage this vast result set looking for the items of interest. Clustering search results is one way of alleviating this navigational pain. In this paper we describe a clustering system that enables clustering search results in an online marketplace search system. Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: clustering, query formulation, relevance feedback, retrieval models, search process, selection process General Terms: Algorithms, Performance, xperimentation

• Type: Conference
• Year: 2007
• Where: WWW
• Authors: Neel Sundaresan, Kavita Ganesan, Roopnath Grandhi
• Keywords: Information Search, Internet Technology, Marketplace Search System, Process General Terms, WWW 2007