TY - GEN
T1 - Mining search-phrase definitions from item descriptions
AU - Nguyen, Hung V.
AU - Davulcu, Hasan
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=52649127786&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=52649127786&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2008.4497551
DO - 10.1109/ICDE.2008.4497551
M3 - Conference contribution
AN - SCOPUS:52649127786
SN - 9781424418374
T3 - Proceedings - International Conference on Data Engineering
SP - 1346
EP - 1348
BT - Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
T2 - 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Y2 - 7 April 2008 through 12 April 2008
ER -