Enriching Recommendation Models with Logic Conditions
Summary: RecLogic augments ML-based recommenders with graph-based TIE rules that embed ML predicates to reduce misclassifications without retraining. It learns TIEs iteratively, enabling a PTIME parallel recommendation algorithm with 22.89% gains (up to 33.10%) on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Lihang Fan (Beihang University)
- 2. Wenfei Fan (Beihang University; Shenzhen University; University of Edinburgh)
- 3. Ping Lu (Beihang University)
- 4. Chao Tian (Beihang University)
- 5. Qiang Yin (Shanghai Jiao Tong University)
BibTeX Citation
@inproceedings{fan_sigmod23,
title = {{Enriching Recommendation Models with Logic Conditions}},
author = {Fan, Lihang and Fan, Wenfei and Lu, Ping and Tian, Chao and Yin, Qiang},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3617330},
url = {https://dl.acm.org/doi/10.1145/3617330},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,554 | Explaining GNN-based Recommendations in Logic | 2025 | VLDB | 5.2528121e-05 |
| 9,647 | Rock: Cleaning Data by Embedding ML in Logic Rules | 2024 | SIGMOD | 5.2430158e-05 |
| 10,324 | Outliers: The Good, the Bad and the Ugly | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 414 | On the Complexity of Database Queries (Extended Abstract) | 1997 | PODS | 0.00018893507 |
| 1,006 | Efficient Subgraph Matching: Harmonizing Dynamic Programming, Adaptive Matching Order, and Failing Set Together | 2019 | SIGMOD | 0.00012699518 |
| 1,411 | word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data | 2020 | PODS | 0.00010852334 |
| 2,973 | Functional Dependencies for Graphs | 2016 | SIGMOD | 7.9083516e-05 |
| 4,832 | Association Rules with Graph Patterns | 2015 | VLDB | 6.4877e-05 |
| 7,099 | Discovering Graph Functional Dependencies | 2018 | SIGMOD | 5.7043774e-05 |
| 7,330 | Discovering Association Rules from Big Graphs | 2022 | VLDB | 5.6435171e-05 |
| 8,095 | Towards Event Prediction in Temporal Graphs | 2022 | VLDB | 5.4877864e-05 |
| 8,113 | Capturing Associations in Graphs | 2020 | VLDB | 5.484341e-05 |
| 9,627 | Making It Tractable to Catch Duplicates and Conflicts in Graphs | 2023 | SIGMOD | 5.2434488e-05 |
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