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 publicationAdvances in Web Mining and Web Usage Analysis - 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006, Revised Papers
Pages110-126
Number of pages17
Publication statusPublished - 1 Dec 2007
Event8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 - Philadelphia, PA, United States
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)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006
CountryUnited States
CityPhiladelphia, PA
Period20/8/0620/8/06

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Bose, A., Beemanapalli, K., Srivastava, J., & Sahar, S. (2007). Incorporating concept hierarchies into usage mining based recommendations. In Advances in Web Mining and Web Usage Analysis - 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006, Revised Papers (pp. 110-126). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4811 LNAI).