Effective Strategies for Temporally Anchored Information Retrieval
Effective Strategies for Temporally Anchored Information Retrieval
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Date
2010-05-28
Authors
Song, Sangchul
JaJa, Joseph
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Abstract
A number of emerging large scale applications such as web archiving and
time-stamped web objects generated through information feeds involve
time-evolving objects that can be most effectively explored through
search within a temporal context. We develop in this paper a new
approach to handle the temporal text search of a time evolving
collection of documents. Specifically, given a temporally anchored
query, our method will return a ranked set of documents that were live
during the query time span and the relevance scores are computed
relative to the state of the collection as it existed during the query
time span. Our approach introduces both a new indexing organization that
substantially limits the search space and an effective methodology for
computing the temporally anchored relevance scores. Moreover, we
develop an analytical model that can be used to determine the temporal
granularity of the indexing organization which minimizes the total
number of postings examined during query evaluation. Our approach is
validated through extensive empirical results generated using two very
different and significant datasets.