TY - GEN
T1 - Incorporating concept hierarchies into usage mining based recommendations
AU - Bose, Amit
AU - Beemanapalli, Kalyan
AU - Srivastava, Jaideep
AU - Sahar, Sigal
PY - 2007
Y1 - 2007
N2 - Recent studies have shown that conceptual and structural characteristics of a website can play an important role in the quality of recommendations provided by a recommendation system. Resources like Google Directory, Yahoo! Directory and web-content management systems attempt to organize content conceptually. Most recommendation models are limited in their ability to use this domain knowledge. We propose a novel technique to incorporate the conceptual characteristics of a website into a usage-based recommendation model. We use a framework based on biological sequence alignment. Similarity scores play a crucial role in such a construction and we introduce a scoring system that is generated from the website's concept hierarchy. These scores fit seamlessly with other quantities used in similarity calculation like browsing order and time spent on a page. Additionally they demonstrate a simple, extensible system for assimilating more domain knowledge. We provide experimental results to illustrate the benefits of using concept hierarchy.
AB - Recent studies have shown that conceptual and structural characteristics of a website can play an important role in the quality of recommendations provided by a recommendation system. Resources like Google Directory, Yahoo! Directory and web-content management systems attempt to organize content conceptually. Most recommendation models are limited in their ability to use this domain knowledge. We propose a novel technique to incorporate the conceptual characteristics of a website into a usage-based recommendation model. We use a framework based on biological sequence alignment. Similarity scores play a crucial role in such a construction and we introduce a scoring system that is generated from the website's concept hierarchy. These scores fit seamlessly with other quantities used in similarity calculation like browsing order and time spent on a page. Additionally they demonstrate a simple, extensible system for assimilating more domain knowledge. We provide experimental results to illustrate the benefits of using concept hierarchy.
UR - http://www.scopus.com/inward/record.url?scp=38549167064&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38549167064&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-77485-3_7
DO - 10.1007/978-3-540-77485-3_7
M3 - Conference contribution
AN - SCOPUS:38549167064
SN - 354077484X
SN - 9783540774846
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 110
EP - 126
BT - Advances in Web Mining and Web Usage Analysis - 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006, Revised Papers
PB - Springer Verlag
T2 - 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006
Y2 - 20 August 2006 through 20 August 2006
ER -