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 search- phrase definitions. These definitions, which are search-phrases themselves, can then be provided as alternative phrases to an advertiser.