Paper Info
Title
Study on the Combination of Probabilistic and Boolean IR Models for WWW Documents Retrieval
Abstract
In this paper, we describe our information retrieval (IR) system that is used for the NTCIR-4 Web Task A. First, we introduce our IR system, which is based on the probabilistic IR model. This system is quite sim- ilar to the Okapi system, and uses both a word index and a phrase index comprising combinations of two adjacent words. Second, we propose a method for clarifying queries that combines the probabilistic IR model and the Boolean IR model. Since it is not easy to construct a Boolean query that covers all relevant documents, a mechanism for clarifying the Boolean query is required. In this paper, we propose "appro- priate Boolean query reformulation for IR" (ABRIR) that support Boolean query formation and score doc- uments based on combining probabilistic and Boolean IR models. Finally, we discuss the effectiveness of the method based on the results of experiments.
Year
Venue
Field
2004
NTCIR
Divergence-from-randomness model,Query expansion,Information retrieval,Computer science,Phrase,Standard Boolean model,Probabilistic logic,Boolean conjunctive query
DocType
Citations 
PageRank 
Conference
8
0.64
References 
Authors
3
2
Name
Order
Citations
PageRank
Masaharu Yoshioka136841.40
Makoto Haraguchi217332.53