InBox: Recommendation with Knowledge Graph using Interest Box Embedding

Summary: InBox represents KGs as points/boxes and models user interests as boxes containing item points, enabling set-like interest sets and concept composition via box intersections. Outperforms HAKG/KGIN on recommendation benchmarks. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13709
Venue: VLDB
Year: 2024
Pagerank: 4.1945683e-05
Overall Rank: 11,131 | 22.57%
DOI: 10.14778/3704965.3704972

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Rank	Citing Paper	Year	Venue	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
62	Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge	2008	SIGMOD	0.0006429466

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