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Improving recommendation for long-tail queries via templates

8 years 6 months ago
Improving recommendation for long-tail queries via templates
The ability to aggregate huge volumes of queries over a large population of users allows search engines to build precise models for a variety of query-assistance features such as query recommendation, correction, etc. Yet, no matter how much data is aggregated, the long-tail distribution implies that a large fraction of queries are rare. As a result, most query assistance services perform poorly or are not even triggered on long-tail queries. We propose a method to extend the reach of query assistance techniques (and in particular query recommendation) to long-tail queries by reasoning about rules between query templates rather than individual query transitions, as currently done in query-flow graph models. As a simple example, if we recognize that ‘Montezuma’ is a city in the rare query “Montezuma surf” and if the rule ‘<city> surf → <city> beach’ has been observed, we are able to offer “Montezuma beach” as a recommendation, even if the two queries wer...
Idan Szpektor, Aristides Gionis, Yoelle Maarek
Added 15 May 2011
Updated 15 May 2011
Type Journal
Year 2011
Where WWW
Authors Idan Szpektor, Aristides Gionis, Yoelle Maarek
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