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Phrase Definition
Mining
Team
Hasan Davulcu
Hung V Nguyen
Vish Ramachandran
Dipti Aswath
Abstract
Most
search engines do their text query and retrieval based on keyword phrases.
However, publishers cannot anticipate all possible ways in which users search
for the items in their documents. In fact, many times, there may be no
direct keyword match between a search phrase and descriptions of items that
are perfect ‘hits’ for the search. For example, if a shopper
uses ‘motorcycle jacket’ then, unless the publisher or search
engine knows that every `leather jacket' is a ‘motorcycle
jacket’, it cannot produce all matches for user's search. Thus, for
certain phrases, there is a semantic gap between the search phrase used and
the way the corresponding matching items are described. A serious
consequence of this gap is that it results in unsatisfied customers. Thus
there is a critical need to boost item findability by bridging the semantic
gap that exists between search phrases and item information. Closing this
gap has the strong potential to translate web search traffic into higher
conversion rates and more satisfied customers. This project demonstrates an
efficient and scalable approach to reduce the gap between search phrases
and actual products which match the criteria.
CIPS Internal Link
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