Title :
PLEDS: A Personalized Entity Detection System Based on Web Log Mining Techniques
Author :
Tsoukalas, Kathleen ; Zhou, Bin ; Pei, Jian ; Cubranic, Davor
Author_Institution :
Sch. of Comput. Sci., Simon Fraser Univ., Burnaby, BC
Abstract :
With the expansion of the internet, many specialized, high-profile sites have become available that bring very technical subject matter to readers with non-technical backgrounds. While the theme of these sites may be of interest to these readers, the posts themselves may contain terms that non-experts may be unfamiliar with and may wish to know more about. We developed PLEDS, a personalized entity detection system which identifies interesting entities and provides related information for individual users by mining web logs and query logs. The experimental results of a systemic user study shows that with PLEDS´s aid, users can experience the benefits of an enriched internet surfing experience.
Keywords :
Web sites; data mining; query processing; Internet; PLEDS; Web log mining; high-profile sites; personalized entity detection system; query log mining; Digital cameras; Displays; Information management; Internet; Mice; Navigation; Object detection; Tagging; Terminology; Usability; Web mining; entity detection; personalization;
Conference_Titel :
Web-Age Information Management, 2008. WAIM '08. The Ninth International Conference on
Conference_Location :
Zhangjiajie Hunan
Print_ISBN :
978-0-7695-3185-4
Electronic_ISBN :
978-0-7695-3185-4
DOI :
10.1109/WAIM.2008.62