Title :
Document expansion based on clique for Markov network information retrieval model
Author :
Lixin Gan ; Wei Tu
Author_Institution :
Jiangxi Sci. & Technol. Normal Univ., Nanchang, China
Abstract :
Document Expansion is an effective approach to solve the common problem of word mismatch in information retrieval. This paper proposes a novel document expansion method based on clique that gotten from the document space in Markov network built from corpus. As demonstrated by our experimental results on ADI, MED and CRAN data set, the method which integrates clique into document Expansion can achieve better query performance.
Keywords :
Markov processes; query processing; text analysis; ADI; CRAN data set; MED; Markov network information retrieval model; clique; document expansion method; document space; query performance; word mismatch; Buildings; Computational modeling; Educational institutions; Information retrieval; Markov random fields; Random variables; Markov network; clique; document expansion; information retrieval;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
DOI :
10.1109/ICCSNT.2013.6967137