Category Archives: Search Science

Developing, tuning, enhancing, etc., data search capabilities

Diversity in Search

This is a post about how to rank search results, specifically the list of items you get after doing a search on eBay. Diversity One simple approach to ranking is to give a score to each item. For concreteness, imagine the score to be an estimate of the probability that a user will buy the
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German Compound Words

Mark Twain is quoted as having said, “Some German words are so long that they have a perspective.” Although eBay users are unlikely to search using fearsome beasts like “rindfleischetikettierungsüberwachungsaufgabenübertragungsgesetz”, which stands for the “beef labeling supervision duties delegation law”, we do frequently see compound words in our users’ queries. While some might look for
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Click Modeling for eCommerce

Historical user click patterns on search result pages are considered a great resource for algorithms that attempt to learn to rank search results. This ranking method is a well-studied problem in the field of Information Retrieval (IR). See Mike Mathiesonʼs excellent blog post, Using Behavioral Data to Improve Search, for more background on this subject.
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