Incorporating concept hierarchies into usage mining based recommendations

Amit Bose, Kalyan Beemanapalli, Jaideep Srivastava, Sigal Sahar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages110-126
Number of pages17
Volume4811 LNAI
Publication statusPublished - 2007
Externally publishedYes
Event8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 - Philadelphia, PA
Duration: 20 Aug 200620 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4811 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006
CityPhiladelphia, PA
Period20/8/0620/8/06

Fingerprint

Concept Hierarchy
Directories
Websites
Mining
Recommendations
Domain Knowledge
Sequence Alignment
Recommendation System
Recommender systems
Browsing
Scoring
Resources
Experimental Results
Model
Demonstrate
Similarity

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Bose, A., Beemanapalli, K., Srivastava, J., & Sahar, S. (2007). Incorporating concept hierarchies into usage mining based recommendations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4811 LNAI, pp. 110-126). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4811 LNAI).

Incorporating concept hierarchies into usage mining based recommendations. / Bose, Amit; Beemanapalli, Kalyan; Srivastava, Jaideep; Sahar, Sigal.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4811 LNAI 2007. p. 110-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4811 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bose, A, Beemanapalli, K, Srivastava, J & Sahar, S 2007, Incorporating concept hierarchies into usage mining based recommendations. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4811 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4811 LNAI, pp. 110-126, 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006, Philadelphia, PA, 20/8/06.
Bose A, Beemanapalli K, Srivastava J, Sahar S. Incorporating concept hierarchies into usage mining based recommendations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4811 LNAI. 2007. p. 110-126. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Bose, Amit ; Beemanapalli, Kalyan ; Srivastava, Jaideep ; Sahar, Sigal. / Incorporating concept hierarchies into usage mining based recommendations. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4811 LNAI 2007. pp. 110-126 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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