Automated Category Tree Construction in E-Commerce
Summary: Formalizes category-tree construction under item-category bounds to maximize similarity to candidate categories. Two heuristics beat worst-case bounds; a case has tight guarantees, with updates preserving tree consistency via search-query candidates. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Uri Avron (Tel Aviv University)
- 2. Shay Gershtein (Tel Aviv University)
- 3. Ido Guy (Ben Gurion University)
- 4. Tova Milo (Tel Aviv University)
- 5. Slava Novgorodov (eBay)
BibTeX Citation
@inproceedings{avron_sigmod22,
title = {{Automated Category Tree Construction in E-Commerce}},
author = {Avron, Uri and Gershtein, Shay and Guy, Ido and Milo, Tova and Novgorodov, Slava},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3526124},
url = {https://dl.acm.org/doi/10.1145/3514221.3526124},
year = {2022}
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