Best Bets: Improving Search to High Demand Resources Tito Sierra NCSU Libraries Code4Lib 2007.

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Presentation transcript:

Best Bets: Improving Search to High Demand Resources Tito Sierra NCSU Libraries Code4Lib 2007

Best Bets Concept 1.Analyze your search logs to see what people are search for most 2.Build a custom index for these items 3.Integrate it with your website search to make your users happy!

Search Behavior at NCSU Libraries

Top Search Terms 1.citation builder 2.circulation 3.copyright 4.refworks 5.web of science 6.jstor

Search Stats Top 100 search queries account for 30.2% of all searches Top 50 search queries account for 26.3% of all searches Top 20 search queries = 21.8% of all searches

Best Bets Implementation

Best Bets at NCSU

Quick Search module focused on high demand resources 50 total Best Bets Mix of Popular databases (‘Web of Science’) Services (‘Course Reserves’) Library information (‘Library Hours’)

Implementation Small XML files Indexed with SWISH-E

Key Benefits Force popular resources to the top of search results Best Bets for items that aren’t included in your Web search crawl Custom field enables matching on misspellings or synonyms (e.g. Lexus Nexus) Custom description displays

Best Bets Usage Quick Search click tracking by module

Best Bets Usage Best Bets account for 16.6% of all search results clicks in the last 12 months

Advanced Analytics Local logging of all serves and clicks High click % is good Low click % is bad Use click % data to improve Best Bets performance

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