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Personalized Recommendation System
Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition
Published:12/11/2025
Popularity Bias Analysis in Collaborative FilteringBayesian Pairwise Ranking OptimizationDirectional Decomposition and Correction (DDC)Personalized Recommendation SystemGeometric Embedding Correction
This study reveals that popularity bias in collaborative filtering is an intrinsic geometric artifact of Bayesian Pairwise Ranking optimization. The proposed Directional Decomposition and Correction (DDC) framework significantly enhances personalization and fairness in recommenda
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UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration
Published:10/28/2025
Generative Recommendation SystemsKnowledge Graph-based RecommendationPersonalized Recommendation SystemMultimodal Recommendation SystemsOnline Recommendation System Optimization
The paper introduces UNGER, a generative recommendation approach that integrates semantic and collaborative information into a unified code to reduce storage and inference costs. Utilizing a twophase framework for effective code construction, it demonstrates significant improvem
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MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation
Published:6/13/2022
Multimodal Entity Graph Collaborative FilteringPersonalized Recommendation SystemMultimodal User Preference ModelingDeep Feature ExtractionE-commerce Recommendation
The MEGCF model addresses the mismatch between multimodal feature extraction and user interest modeling by extracting semantic entities, constructing a useritem graph, and employing a sentimentweighted graph convolution network to enhance recommendation accuracy.
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A Multi-modal Large Language Model with Graph-of-Thought for Effective Recommendation
Published:1/1/2025
Multimodal Large Language ModelGraph-of-Thought Prompting TechniquePersonalized Recommendation SystemMultimodal Recommendation TasksUser-Item Interaction Graphs
The GollaRec model integrates a Multimodal Large Language Model and GraphofThought to enhance useritem interaction for effective recommendations, combining visual and textual data. It utilizes textgraph alignment and tuning, outperforming 12 existing models in multimodal tas
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