FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems
Summary: FEXIPRO enables fast, exact inner-product retrieval for MF-based recommenders via a sequential scan. It truncates P via SVD so few dims capture most q^T P, computes fast upper bounds with an integer-approx P to prune, and applies a lossless transform to P to ensure positivity and monotone growth; this yields order-of-magnitude speedups on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hui Li (University of Hong Kong)
- 2. Tsz Nam Chan (Hong Kong Polytechnic University)
- 3. Man Lung Yiu (Hong Kong Polytechnic University)
- 4. Nikos Mamoulis (University of Hong Kong)
BibTeX Citation
@inproceedings{li_sigmod17,
title = {{FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems}},
author = {Li, Hui and Chan, Tsz Nam and Yiu, Man Lung and Mamoulis, Nikos},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3064009},
url = {https://dl.acm.org/doi/10.1145/3035918.3064009},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 21 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB | 0.00056760516 |
| 46 | A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces | 1998 | VLDB | 0.00044853085 |
| 3,363 | Efficient k-NN Search on Vertically Decomposed Data | 2002 | SIGMOD | 7.4808966e-05 |
| 3,676 | LEMP: Fast Retrieval of Large Entries in a Matrix Product | 2015 | SIGMOD | 7.2094091e-05 |
| 3,806 | On the Complexity of Inner Product Similarity Join | 2016 | PODS | 7.108802e-05 |
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