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Found 6 papers, 0 papers with code
Trinity: Syncretizing Multi-/Long-tail/Long-term Interests All in One
Interest modeling in recommender system has been a constant topic for improving user experience, and typical interest modeling tasks (e. g. multi-interest, long-tail interest and long-term interest) have been investigated in many existing works.
POSO: Personalized Cold Start Modules for Large-scale Recommender Systems
Moreover, POSO can be further generalized to regular users, inactive users and returning users (+2%-3% on Watch Time), as well as item cold start (+3. 8% on Watch Time).
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach
In this paper, we proposed a novel end-to-end self-organizing framework for user behavior prediction.
Effective Domain Knowledge Transfer with Soft Fine-tuning
However, the datasets from source domain are simply discarded in the fine-tuning process.
Single Image Action Recognition using Semantic Body Part Actions
Second, for each body parts, a Part Action Res-Net is used to predict semantic body part actions.
Improving Object Proposals With Multi-Thresholding Straddling Expansion
Based on the characteristics of superpixel tightness distribution, we propose an effective method, namely multi-thresholding straddling expansion (MTSE) to reduce localization bias via fast diversification.
