Papers with Long-Tail Recommendation

1 papers
MotiR: Motivation-aware Retrieval for Long-Tail Recommendation (2025.acl-industry)

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Challenge: Existing methods for retrieval of recommendation systems rely on collaborative filtering signals and lacks similarity for long-tail items.
Approach: They propose a Motivation-aware Retrieval for Long-Tail Recommendation that integrates purchase motivations with traditional item features to capture similarity among long-tail items.
Outcome: The proposed model captures similarity between long-tail items while maintaining collaborative filtering advantages for popular items.

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