A search engine evaluation model that considers over seventy performance and feature parameters is presented. The design of a web-based system that allows the user to tailor the model to his/her own preference, and to evaluate search engines of interest, is introduced. The results presented to the user identify the most suitable search engine that suits his/her needs. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval ? retrieval models, search process, selection process. General Terms Measurement, Performance, Human Factors. Keywords Search Engines, Performance Evaluation, Personalization.
Kin F. Li, Wei Yu, Shojiro Nishio, Yali Wang