arXiv (All)
open access
Support Thresholds, Not Algorithms, Limit Rare-Association Recovery in Co-Purchase Networks
The support threshold of the Apriori algorithm involves a trade-off in conducting market basket analysis: the associations that occur frequently are noted with high threshold; however, the low ones lead to generating the large amount of rules. The paper compares five methods for co-purchase edge fil
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- <i>DUoR:</i><i> Dynamic</i><i> User</i><i>-oriented</i><i> re</i><i>-Ranking</i> calibration strategy for popularity bias treatment of recommendation#397891
- Social Network Collaborative Filtering#941857
- Network Structure and the Long Tail of Electronic Commerce#941701
- Why do Online Product Reviews have a J-shaped Distribution? Overcoming Biases in Online Word-of-Mouth Communication#941702
- A theory of recommendations#16840
Record · ID 1033941
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive