Zzong's Notes

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recommender_system

recommender_system

33개의 글

A Survey on Deep Learning Based POI Recommendations
Algorithmic Effects on the Diversity of Consumption on Spotify
AliBoost - Ecological Boosting Framework in Alibaba Platform
An Empirical Study on Recommendation with Multiple Types of Feedback
An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data
BERT4Rec - Sequential Recommendation with Bidirectional Encoder Representations from Transformer
- NLP, recommendation_system, paper_review, deep_learning,
Beyond Collaborative Filtering - The List Recommendation Problem
Collaborative Topic Modeling for Recommending GitHub Repositories
Deep Neural Networks for YouTube Recommendations
Effects of User Negative Experience in Mobile News Streaming
Fifty Shades of Ratings - How to Benefit from a Negative Feedback in Top-N Recommendations Tasks
Improving Pairwise Learning for Item Recommendation from Implicit Feedback
Interpreting user inaction in recommender systems
Joint User-Entity Representation Learning for Event Recommendation in Social Network
Learning to Rank Recommendations with the k-Order Statistic Loss
- paper_review recommendation_system learning_to_rank RecSys y2013
Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations
Modeling impression discounting in large-scale recommender systems
Modeling personalized item frequency information for next-basket recommendation
MOON - Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding
Negative Interactions for Improved Collaborative Filtering - Don't go Deeper, go Higher
Neural Collaborative Filtering (WWW 2017)
Online learning to rank for information retrieval
Personalizing Software and Web Services by Integrating Unstructured Application Usage Traces
Practical Lessons for Job Recommendations in the Cold-Start Scenario
Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste
- cold-start, paper_review, spotify, recommendation_system,
Reinforced Negative Sampling for Recommendation with Exposure Data
session-based recommendations
SLIM - Sparse Linear Methods for Top-N Recommender Systems
The YouTube Video Recommendation System
User Fatigue in Online News Recommendation
VBPR - Visual Bayesian Personalized Ranking from Implicit Feedback
When Relevance is not Enough - Promoting Diversity and Freshness in Personalized Question Recommendation
Wide & Deep Learning for Recommender Systems