Multidimensional Recommender Systems: A Data Warehousing Approach

@inproceedings{Adomavicius2001MultidimensionalRS,
  title={Multidimensional Recommender Systems: A Data Warehousing Approach},
  author={Gediminas Adomavicius and Alexander Tuzhilin},
  booktitle={WELCOM},
  year={2001}
}
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… CONTINUE READING

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