TY - GEN
T1 - User-schedule-based Web page recommendation
AU - Oishi, Tetsuya
AU - Kuramoto, Shunsuke
AU - Nagata, Hiroto
AU - Mine, Tsunenori
AU - Hasegawa, Ryuzo
AU - Fujita, Hiroshi
AU - Koshimura, Miyuki
PY - 2007
Y1 - 2007
N2 - In web retrieval, it is often the case that the results given by search engines are not just what we want. To solve this problem there have been many studies on improving queries to be submitted to search engines. However, they are still insufficient due to lack of consideration on time information. To remedy this we propose a user-schedule-based web page recommendation method. The method makes use of a user's schedule to make the recommendation suite to his/her requests. In addition, an algorithm for extracting related words is introduced as a key technique in this method. Some preliminary experiments show very promising results in recommending web pages relevant to users requests. We also confirmed that this algorithm outper-forms a method using mutual information.
AB - In web retrieval, it is often the case that the results given by search engines are not just what we want. To solve this problem there have been many studies on improving queries to be submitted to search engines. However, they are still insufficient due to lack of consideration on time information. To remedy this we propose a user-schedule-based web page recommendation method. The method makes use of a user's schedule to make the recommendation suite to his/her requests. In addition, an algorithm for extracting related words is introduced as a key technique in this method. Some preliminary experiments show very promising results in recommending web pages relevant to users requests. We also confirmed that this algorithm outper-forms a method using mutual information.
UR - http://www.scopus.com/inward/record.url?scp=48349083840&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48349083840&partnerID=8YFLogxK
U2 - 10.1109/WI.2007.4427188
DO - 10.1109/WI.2007.4427188
M3 - Conference contribution
AN - SCOPUS:48349083840
SN - 0769530265
SN - 9780769530260
T3 - Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
SP - 776
EP - 779
BT - Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
T2 - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
Y2 - 2 November 2007 through 5 November 2007
ER -