Mining Search-Phrase Definitions from Item Descriptions

In this paper, we develop a model for representing term dependence based on Markov Random Fields and present an approach based on Markov Chain Monte Carlo technique for generating phrase definitions. This approach can use a small corpus of keyword matching and a random sample of other product descriptions for an advertiser's search-phrase to effectively mine and rank alternative but highly relevant searchphrase definitions. These definitions, which are search-phrases themselves, can then be provided as alternative phrases to an advertiser.

• Type: Conference
• Year: 2008
• Where: ICDE
• Authors: Hung V. Nguyen, Hasan Davulcu
• Keywords: Database, ICDE 2008, Markov Chain Monte, Markov Random Fields, Relevant Searchphrase Definitions