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Absolute Relevance? Ranking in the Scholarly Domain

Home / Project Briefing Pages / CNI Spring 2012 Project Briefings / Absolute Relevance? Ranking in the Scholarly Domain

March 30, 2012

Tamar Sadeh
Director of Marketing
Ex Libris Group

The greatest challenge for discovery systems is how to provide users with the most relevant search results, given the immense landscape of available content. In a manner that is similar to human interaction between two parties, in which each person adjusts to the other in tone, language, and subject matter, discovery systems would ideally be sophisticated and flexible enough to adjust their algorithms to individual users and each user’s information needs. When evaluating the relevance of an item to a specific user in a specific context, relevance-ranking algorithms need to take into account, in addition to the degree to which the item matches the query, information that is not embodied in the item itself.

Such information, which includes the item’s scholarly value, the type of search that the user is conducting (e.g., an exploratory search or a known-item search), and other factors, enables a discovery system to fulfill user expectations that have been shaped by experience with Web search engines. This session will focus on the challenges of developing and evaluating relevance-ranking algorithms for the scholarly domain. Examples will be drawn mainly from the relevance-ranking technology deployed by the Ex Libris Primo discovery solution.

 Presentation (PDF)

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Filed Under: CNI Spring 2012 Project Briefings, Information Access & Retrieval
Tagged With: CNI2012spring, Project Briefings & Plenary Sessions

Last updated:  Monday, April 23rd, 2012

 

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