Multidimensional recommender systems: A data warehousing approach

Gediminas Adomavicius; Alexander Tuzhilin

doi:10.1007/3-540-45598-1_17

Multidimensional recommender systems: A data warehousing approach

Gediminas Adomavicius, Alexander Tuzhilin

Information and Decision Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

63 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	Electronic Commerce - 2nd International Workshop, WELCOM 2001, Proceedings
Editors	Ludger Fiege, Gero Mühl, Uwe Wilhelm
Publisher	Springer Verlag
Pages	180-192
Number of pages	13
ISBN (Print)	9783540428787
DOIs	https://doi.org/10.1007/3-540-45598-1_17
State	Published - 2001
Event	2nd International Workshop on Electronic Commerce, WELCOM 2001 in conjunction with the 18th IEEE Symposium on Reliable and Distributed Systems, SRDS 2001 - Heidelberg, Germany Duration: Nov 16 2001 → Nov 17 2001

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2232
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	2nd International Workshop on Electronic Commerce, WELCOM 2001 in conjunction with the 18th IEEE Symposium on Reliable and Distributed Systems, SRDS 2001
Country/Territory	Germany
City	Heidelberg
Period	11/16/01 → 11/17/01

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10.1007/3-540-45598-1_17

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Adomavicius, G., & Tuzhilin, A. (2001). Multidimensional recommender systems: A data warehousing approach. In L. Fiege, G. Mühl, & U. Wilhelm (Eds.), Electronic Commerce - 2nd International Workshop, WELCOM 2001, Proceedings (pp. 180-192). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2232). Springer Verlag. https://doi.org/10.1007/3-540-45598-1_17

Multidimensional recommender systems : A data warehousing approach. / Adomavicius, Gediminas; Tuzhilin, Alexander.

Electronic Commerce - 2nd International Workshop, WELCOM 2001, Proceedings. ed. / Ludger Fiege; Gero Mühl; Uwe Wilhelm. Springer Verlag, 2001. p. 180-192 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2232).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Adomavicius, G & Tuzhilin, A 2001, Multidimensional recommender systems: A data warehousing approach. in L Fiege, G Mühl & U Wilhelm (eds), Electronic Commerce - 2nd International Workshop, WELCOM 2001, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2232, Springer Verlag, pp. 180-192, 2nd International Workshop on Electronic Commerce, WELCOM 2001 in conjunction with the 18th IEEE Symposium on Reliable and Distributed Systems, SRDS 2001, Heidelberg, Germany, 11/16/01. https://doi.org/10.1007/3-540-45598-1_17

Adomavicius G, Tuzhilin A. Multidimensional recommender systems: A data warehousing approach. In Fiege L, Mühl G, Wilhelm U, editors, Electronic Commerce - 2nd International Workshop, WELCOM 2001, Proceedings. Springer Verlag. 2001. p. 180-192. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45598-1_17

Adomavicius, Gediminas ; Tuzhilin, Alexander. / Multidimensional recommender systems : A data warehousing approach. Electronic Commerce - 2nd International Workshop, WELCOM 2001, Proceedings. editor / Ludger Fiege ; Gero Mühl ; Uwe Wilhelm. Springer Verlag, 2001. pp. 180-192 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Multidimensional recommender systems: A data warehousing approach

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