With the exponential growth of the available information on the World Wide Web, a traditional search engine, even if based on sophisticated document indexing algorithms, has difficulty meeting efficiency and effectiveness performance demanded by users searching for relevant information. Users surfing the Web in search of resources to satisfy their information needs have less and less time and patience to formulate queries, wait for the results and sift through them. Consequently, it is vital in many applications - for example in an e-commerce Web site or in a scientific one - for the search system to find the right information very quickly. Personalized Web environments that build models of short-term and long-term user needs based on user actions, browsed documents or past queries are playing an increasingly crucial role: they form a winning combination, able to satisfy the user better than unpersonalized search engines based on traditional Information Retrieval (IR) techniques. Several important user personalization approaches and techniques developed for the Web search domain are illustrated in this chapter, along with examples of real systems currently being used on the Internet.
|Titolo:||Personalized Search on the World Wide Web|
|Data di pubblicazione:||2007|
|Citazione:||MICARELLI A, GASPARETTI F, SCIARRONE F, & GAUCH S (2007). Personalized Search on the World Wide Web. In The Adaptive Web: Methods and Strategies of Web Personalization (pp. 195-230). Heidelberg : Springer Berlin.|
|Appare nelle tipologie:||2.1 Contributo in volume (Capitolo o Saggio)|