TY - GEN
T1 - Web page recommender system based on Folksonomy mining for ITNG '06 submissions
AU - Niwa, Satoshi
AU - Doi, Takuo
AU - Honiden, Shinichi
PY - 2006
Y1 - 2006
N2 - There have been many attempts to construct web page recommender systems using collaborative filtering. But the domains these systems can cover are very restricted because it is very difficult to assemble user preference data to web pages, and the number of web pages on the Internet is too large. In this paper, we propose the way to construct a new type of web page recommender system covering all over the Internet, by using Folksonomy and Social Bookmark which are getting very popular in these days.
AB - There have been many attempts to construct web page recommender systems using collaborative filtering. But the domains these systems can cover are very restricted because it is very difficult to assemble user preference data to web pages, and the number of web pages on the Internet is too large. In this paper, we propose the way to construct a new type of web page recommender system covering all over the Internet, by using Folksonomy and Social Bookmark which are getting very popular in these days.
UR - http://www.scopus.com/inward/record.url?scp=33750800771&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33750800771&partnerID=8YFLogxK
U2 - 10.1109/ITNG.2006.140
DO - 10.1109/ITNG.2006.140
M3 - Conference contribution
AN - SCOPUS:33750800771
SN - 0769524974
SN - 9780769524979
T3 - Proceedings - Third International Conference onInformation Technology: New Generations, ITNG 2006
SP - 388
EP - 393
BT - Proceedings - Third International Conference onInformation Technology
T2 - Third International Conference on Information Technology: New Generations, ITNG 2006
Y2 - 10 April 2006 through 12 April 2006
ER -