Methods › General › Recommendation Systems › ComiRec
ComiRec
Introduced by Yukuo Cen et al. in Controllable Multi-Interest Framework for Recommendation
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
ComiRec is a multi-interest framework for sequential recommendation. The multi-interest module captures multiple interests from user behavior sequences, which can be exploited for retrieving candidate items from the large-scale item pool. These items are then fed into an aggregation module to obtain the overall recommendation. The aggregation module leverages a controllable factor to balance the recommendation accuracy and diversity.
Papers archive 2025-07-28
3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
-
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation 17 Aug 2022 · 1 repository · arXiv:2208.08011
-
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation 3 May 2022 · 1 repository · arXiv:2205.01286Syntology ran 0 of 6 samples · 6 unverified
-
Controllable Multi-Interest Framework for Recommendation 19 May 2020 · 2 repositories · arXiv:2005.09347Syntology ran 0 of 9 samples · 9 unverified
Tasks archive 2025-07-28
4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections