activity
20192026
most citedHAM: Hybrid Associations Models for Sequential Recommendation

11 citations · 33 across the 20 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

q-bio.BM2024

log-RRIM: Yield Prediction via Local-to-global Reaction Representation Learning and Interaction Modeling

Xiao Hu, Ziqi Chen, Bo Peng +2

Accurate prediction of chemical reaction yields is crucial for optimizing organic synthesis, potentially reducing time and resources spent on experimentation. With the rise of arti…

cs.CL2024★ 1 cited

Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data

Xinyi Ling, Hanwen Du, Bo Peng +2

Leveraging multimodal data to drive breakthroughs in e-commerce applications through Multimodal Foundation Models (MFMs) is gaining increasing attention from the research community…

cs.CL2024

SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search

Hanwen Du, Bo Peng, Xia Ning

Conversational Recommender Systems (CRS) proactively engage users in interactive dialogues to elicit user preferences and provide personalized recommendations. Existing methods tra…

cs.IR2024★ 1 cited

SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis

Shentao Yang, Haichuan Yang, Linna Du +5

The significance of estimating video watch time has been highlighted by the rising importance of (short) video recommendation, which has become a core product of mainstream social…

cs.CL2024★ 4 cited

eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

Bo Peng, Xinyi Ling, Ziru Chen +2

With tremendous efforts on developing effective e-commerce models, conventional e-commerce models show limited success in generalist e-commerce modeling, and suffer from unsatisfac…