most citedRecent Advances in RecBole: Extensions with more Practical Considerations

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR20226 cited

Recent Advances in RecBole: Extensions with more Practical Considerations

Lanling Xu, Zhen Tian, Gaowei Zhang +10

RecBole has recently attracted increasing attention from the research community. As the increase of the number of users, we have received a number of suggestions and update request…

cs.DC2022

High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer

Wanling Gao, Lei Wang, Mingyu Chen +13

Emerging and future applications rely heavily upon systems consisting of Internet of Things (IoT), edges, data centers, and humans-in-the-loop. Significantly different from warehou…

cs.IR20221 cited

Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective

Weijieying Ren, Lei Wang, Kunpeng Liu +3

Recommender systems learn from historical user-item interactions to identify preferred items for target users. These observed interactions are usually unbalanced following a long-t…

cs.CL20222 cited

COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models

Bowen Shen, Zheng Lin, Yuanxin Liu +3

Transformer-based pre-trained language models (PLMs) mostly suffer from excessive overhead despite their advanced capacity. For resource-constrained devices, there is an urgent nee…

cs.IR20221 cited

Explanation Guided Contrastive Learning for Sequential Recommendation

Lei Wang, Ee-Peng Lim, Zhiwei Liu +1

Recently, contrastive learning has been applied to the sequential recommendation task to address data sparsity caused by users with few item interactions and items with few user ad…