This work presents a study to bridge topic modeling and personalized search. A probabilistic topic model is used to extract topics from user search history. These topics can be seen as a roughly summary of user preferences and further treated as feedback within the KL-Divergence retrieval model to estimate a more accurate query model. The topics more relevant to current query contribute more in...

With the success of Web applications, most of our data is now stored on various third-party servers where they are processed to deliver personalized services. Naturally we must be authenticated to access this personal information, but the use of personalized services only restricted by identification could indirectly and silently leak sensitive data. We analyzed Google Web Search access mechani...

WiseWare is an operational knowledge-based system providing support for help desk analysts, users in Information Technology departments and channel partners [Delic and Lahaix, 1998]. A WiseWare document is an entity containing human readable knowledge expressed in free form English text. Documents are evaluated and annotated for complexity, quality, usefulness and age, etc. The retrieval of doc...

One hundred users, one hundred needs. Current web search engines are built to serve all users, independent of the needs of any individual user. Personalized web search is considered as a promising solution in this direction and is an area of immense research potential. The main objective of this paper is to establish the significance of evolutionary techniques for providing personalized web sea...

As near-infinite amount of data are becoming accessible on the Web, it becomes more important to support intelligent personalized retrieval mechanisms, to help users identify the results of a manageable size satisfying user-specific needs. Example case studies include major search engines, such as Google and Yahoo, recently released personalized search, which adapts the ranking to the user-spec...

(51) Int. Cl. G06F 3/00 (2006.01) G06F 3/14 (2006.01) (52) U.S. Cl. ...................... 715/838; 715/716; 715/719; 715/839; 715/500.1; 358/1.1 (58) Field of Classification Search ................ 3451700, 345/716,717,719,727,764,835,838,839, 345/855; 358/1.1,1.15,1.18,530,540; 705/55; 715/500.1,501.1,500,513,479,700,716, 715/717,719,727,764,835,838,839,855, 715/526,527 See application file f...

(51) Int. Cl. G06K 15/00 (2006.01) G06F 3/12 (2006.01) G06F 15/80 (2006.01) G06F 15/177 (2006.01) (52) U.S. Cl. ..................... 358/1.15; 358/1.16; 345/505; 709/220 (58) Field of Classification Search ................ 358/1.15, 358/1.16,1.4,1.9,518; 3821117,118,170; 345/505; 709/220 See application file for complete search history. 111111 11111111111111111111111111111111111111111111111111...

Recently, growth of internet has been increased for information retrieval though it is difficult to extract the relevant information in less time. Search engine sometime fails to understand user search intend. Query recommendation can be used to help user to state exactly their information need. Search engine can return appropriate result to meet users’ information needs. There are various meth...