Recommendation Systems

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.

Source: Controllable Multi-Interest Framework for Recommendation

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Recommendation Systems 2 50.00%
Sequential Recommendation 2 50.00%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories