![]() People using a movie recommendation system will always be looking for a movie and their preferences will remain quite constant. Traditional CF applications assume that users have fairly consistent information needs over time. An experimental prototype of SERF is currently available to all users of the OSU Libraries web site. To find similar information needs, queries are compared using a keyword matching technique. emailing the page or the last page viewed). a vote), or some user activity that implies that a resource is useful (e.g. The system determines that resources are relevant to a question by observing either an explicit user statement that the resource is valuable (e.g. If previous users have issued similar queries, then SERF recommends documents, sites, or databases that those previous users found relevant and useful. Users are encouraged, but not required, to enter grammatically correct, complete sentences. In SERF, a user issues a question or a statement of the current information need (e.g. The setting can be used to learn by observing patrons and react to their responses. complex with content targeted at multiple and diverse users.
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