This paper proposes a method of suggesting expanded queries that
disambiguate the original Web query which has multiple
interpretations. In order to produce a diverse set of queries
including those corresponding to infrequent query intents, our method
produces queries by extracting phrases connecting given query terms
from a corpus. We use a corpus because infrequent query intents may
not appear in query logs. We use phrase queries because we need
sufficiently specific queries for retrieving pages corresponding to
infrequent query intents out of many pages corresponding to popular
query intents. Phrase queries usually have high accuracy but low
recall. In order to also achieve high recall, we use a disjunction of
many phrase queries as a query. Our method first produces many phrase
queries by using term expansion and phrase extraction from a corpus,
then group semantically similar phrases into clusters, and use each
cluster as a disjunctive set of phrase queries.
Web search; query modification; query expansion; query refinement; query disambiguation; infrequent query intent
Published in Proc. of IEEE/WIC/ACM WI, pp.449-455, Thessaloniki, Greece, 2019
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