Multidimensional recommender systems: A data warehousing approach

Gediminas Adomavicius, Alexander Tuzhilin

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

58 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 languageEnglish (US)
Title of host publicationElectronic Commerce - 2nd International Workshop, WELCOM 2001, Proceedings
EditorsLudger Fiege, Gero Mühl, Uwe Wilhelm
PublisherSpringer Verlag
Pages180-192
Number of pages13
ISBN (Print)9783540428787
DOIs
StatePublished - 2001
Event2nd 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 2001Nov 17 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2232
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Workshop on Electronic Commerce, WELCOM 2001 in conjunction with the 18th IEEE Symposium on Reliable and Distributed Systems, SRDS 2001
CountryGermany
CityHeidelberg
Period11/16/0111/17/01

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