Title :
Browsing support by highlighting keywords based on a user´s browsing history
Author :
Matsuo, Yutaka ; Fukuta, Hayato ; Ishizuka, Mitsuru
Author_Institution :
Nat. Inst. of Adv. Ind. Sci. & Technol., Tokyo, Japan
Abstract :
We develop a browsing support system which learns user\´s interests and highlights keywords based on a user\´s browsing history. Monitoring the user\´s access to the Web enable us to detect "familiar words" for the user. We extract keywords, which are relevant to the familiar words in the current page, and highlight them. The relevancy is measured by the biases of co-occurrence, called IRM (Interest Relevance Measure). Our system consists of three components; a proxy server which monitors access to the Web, a frequency server which stores frequency of words in the accessed Web pages, and a keyword extraction module. Preliminary reports are shown to evaluate the system.
Keywords :
Internet; Web sites; information needs; information retrieval; online front-ends; search engines; Interest Relevance Measure; Web access monitoring; Web browser; Web pages; browsing support; familiar words; frequency server; keyword extraction module; keyword highlighting; proxy server; user browsing history; user interests; Data mining; Frequency; History; Information science; Monitoring; Web pages; World Wide Web;
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
Print_ISBN :
0-7803-7437-1
DOI :
10.1109/ICSMC.2002.1175581