Title :
WebSail: from on-line learning to Web search
Author :
Chen, Zhixiang ; Meng, Xiannong ; Zhu, Binhai ; Fowler, Richard H.
Author_Institution :
Dept. of Comput. Sci., Texas Univ., Edinburg, TX, USA
Abstract :
We investigate the applicability of on-line learning algorithms to the real-world problem of Web search. Consider that Web documents are indexed using n Boolean features. We first present a practically efficient online learning algorithm TW2 to search for Web documents represented by a disjunction of at most k relevant features. We then design and implement WebSail, a real-time adaptive Web search learner, with TW2 as its learning component. WebSail learns from the user´s relevance feedback in real-time and helps the user to search for the desired Web documents. The architecture and performance of WebSail are also discussed
Keywords :
Internet; information resources; learning (artificial intelligence); real-time systems; relevance feedback; software architecture; software performance evaluation; Boolean features; TW2; Web document indexing; Web search; WebSail; adaptive Web search learner; online learning algorithms; real time system; relevance feedback; software architecture; software performance; Computer science; Databases; Feedback; Indexes; Indexing; Machine learning; Machine learning algorithms; Search engines; Uniform resource locators; Web search;
Conference_Titel :
Web Information Systems Engineering, 2000. Proceedings of the First International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-0577-5
DOI :
10.1109/WISE.2000.882394
