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20222026
most citedNEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation

3 citations · 3 across the 11 of their papers we have counts for

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7 papers · 1 filter

cs.IR2026

CRAB: Codebook Rebalancing for Bias Mitigation in Generative Recommendation

Zezhong Fan, Ziheng Chen, Luyi Ma +5

Generative recommendation (GeneRec) has introduced a new paradigm that represents items as discrete semantic tokens and predicts items in a generative manner. Despite its strong pe…

cs.IR2024

Improving Sequential Recommender Systems with Online and In-store User Behavior

Luyi Ma, Aashika Padmanabhan, Anjana Ganesh +9

Online e-commerce platforms have been extending in-store shopping, which allows users to keep the canonical online browsing and checkout experience while exploring in-store shoppin…

cs.IR2024

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations

Luyi Ma, Xiaohan Li, Zezhong Fan +7

Integrating diverse data modalities is crucial for enhancing the performance of personalized recommendation systems. Traditional models, which often rely on singular data sources,…

cs.IR2024

Event-based Product Carousel Recommendation with Query-Click Graph

Luyi Ma, Nimesh Sinha, Parth Vajge +3

Many current recommender systems mainly focus on the product-to-product recommendations and user-to-product recommendations even during the time of events rather than modeling the…

cs.IR2024

Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs

Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai +6

The outfit generation problem involves recommending a complete outfit to a user based on their interests. Existing approaches focus on recommending items based on anchor items or s…

cs.IR2022

Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders

Xiaohan Li, Zheng Liu, Luyi Ma +4

Recent studies on Next-basket Recommendation (NBR) have achieved much progress by leveraging Personalized Item Frequency (PIF) as one of the main features, which measures the frequ…