ABSTRACT
This poster reports on user searching behavior within two information gateways developed at the University of Illinois at Urbana-Champaign Library. These gateways are built around a locally developed metasearch engine and are designed to assist users with search query formulation and modification. Search behavior data is being collected in custom transaction logs that gather user search arguments along with any system actions and contextual search assistance suggestions.
Index Terms
- User search behaviors within a library gateway
Recommendations
Actively predicting diverse search intent from user browsing behaviors
WWW '10: Proceedings of the 19th international conference on World wide webThis paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. However, the prediction was mostly passive because it was performed only ...
Optimizing search engines results using linear programming
When a query is passed to multiple search engines, each search engine returns a ranked list of documents. Researchers have demonstrated that combining results, in the form of a ''metasearch engine'', produces a significant improvement in coverage and ...
Building efficient and effective metasearch engines
Frequently a user's information needs are stored in the databases of multiple search engines. It is inconvenient and inefficient for an ordinary user to invoke multiple search engines and identify useful documents from the returned results. To support ...
Comments