TY - GEN
T1 - Serendipitous Page Recommendation on Web IndeX System with Potential Preferences
AU - Chen, Xingyu
AU - Nemoto, Jun
AU - Toyama, Motomichi
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/11/30
Y1 - 2020/11/30
N2 - Most recommendation systems excessively pursue the recommendation accuracy and give rise to over-specialization. However, the existing recommendation systems research has not studied serendipity much. Hence, the serendipitous item recommendation has received more attention in recent years. The serendipitous recommendation of our research is not included in the area that the user predict easily but recommends the keywords that match the potential preferences. Potential preferences are those that are present in the user profile, which the user may not know. In this research, we recommend keywords that can express serendipity by intersecting the relation between keywords mainly. Furthermore, we propose the related page recommendation method on Web IndeX System for recommending linked pages related to these serendipitous keywords based on the user's potential preferences.
AB - Most recommendation systems excessively pursue the recommendation accuracy and give rise to over-specialization. However, the existing recommendation systems research has not studied serendipity much. Hence, the serendipitous item recommendation has received more attention in recent years. The serendipitous recommendation of our research is not included in the area that the user predict easily but recommends the keywords that match the potential preferences. Potential preferences are those that are present in the user profile, which the user may not know. In this research, we recommend keywords that can express serendipity by intersecting the relation between keywords mainly. Furthermore, we propose the related page recommendation method on Web IndeX System for recommending linked pages related to these serendipitous keywords based on the user's potential preferences.
KW - Recommendation
KW - Serendipity
KW - Web IndeX System
KW - Webpage
UR - http://www.scopus.com/inward/record.url?scp=85100333202&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85100333202&partnerID=8YFLogxK
U2 - 10.1145/3428757.3429132
DO - 10.1145/3428757.3429132
M3 - Conference contribution
AN - SCOPUS:85100333202
T3 - ACM International Conference Proceeding Series
SP - 104
EP - 110
BT - 22nd International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2020 - Proceedings
A2 - Indrawan-Santiago, Maria
A2 - Pardede, Eric
A2 - Salvadori, Ivan Luiz
A2 - Steinbauer, Matthias
A2 - Khalil, Ismail
A2 - Kotsis, Gabriele
PB - Association for Computing Machinery
T2 - 22nd International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2020
Y2 - 30 November 2020 through 2 December 2020
ER -