Multidimensional Recommender Systems: A Data Warehousing Approach

In this paper, we present a new data-warehousing-based approach to recommender systems. In particular, we propose to extend traditional two-dimensional user/item recommender systems to support multiple dimensions, as well as comprehensive profiling and hierarchical aggregation (OLAP) capabilities. We also introduce a new recommendation query language RQL that can express complex recommendations taking into account the proposed extensions. We describe how these extensions are integrated into a framework that facilitates more flexible and comprehensive user interactions with recommender systems.

[1]  R. Kohli,et al.  Internet Recommendation Systems , 2000 .

[2]  Ken Lang,et al.  NewsWeeder: Learning to Filter Netnews , 1995, ICML.

[3]  Maurice D. Mulvenna,et al.  Discovering Internet marketing intelligence through online analytical web usage mining , 1998, SGMD.

[4]  Paul Resnick,et al.  Recommender systems , 1997, CACM.

[5]  Pattie Maes,et al.  Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.

[6]  Jaideep Srivastava,et al.  Web usage mining: discovery and applications of usage patterns from Web data , 2000, SKDD.

[7]  Yoav Shoham,et al.  Fab: content-based, collaborative recommendation , 1997, CACM.

[8]  Raymond J. Mooney and Paul N. Bennett and Loriene Roy,et al.  Book Recommending Using Text Categorization with Extracted Information , 1998 .

[9]  Ralph Kimball,et al.  The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses , 1996 .

[10]  Bradley N. Miller,et al.  GroupLens: applying collaborative filtering to Usenet news , 1997, CACM.

[11]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[12]  Patrick Baudisch,et al.  Interacting with recommender systems , 1999, CHI EA '99.

[13]  Surajit Chaudhuri,et al.  An overview of data warehousing and OLAP technology , 1997, SGMD.

[14]  Krishna Kumar,et al.  Learn Sesame, a Learning Agent Engine , 1997, Appl. Artif. Intell..

[15]  David Heckerman,et al.  Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.

[16]  S. Griffis.  EDITOR , 1997, Journal of Navigation.

[17]  Michael J. Pazzani,et al.  Syskill & Webert: Identifying Interesting Web Sites , 1996, AAAI/IAAI, Vol. 1.