Introducing the sequence model for text retrieval
Author(s)
Chen, Yu-Fang
DOI
20060927122917570645
Abstract
We propose and explore a novel approach,called the se-
quence model,to text retrieval.The model di ffers from classical ones
in the extent of how positional information of term occurrences is used
for relevance judgment.In the sequence model,documents and queries
are viewed as sequences of term-position pairs and the relevance of a doc-
ument to a query is judged by the similarity between their respective rep-
resentative sequences.We suggest three primitive measures of sequence
similarity,each capturing a distinct aspect of resemblance between two
sequences.These similarity measures can be combined in various ways to
suit di fferent information needs.We have developed a prototype system
with the sequence model as its core.Experimental results show that our
sequence-based approach is often more e ffective than appearance-based
approaches.
Publisher
臺北市:國立臺灣大學資訊管理學系
Type
other
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