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Literature Review
2024
Embedding Collapse in Recommender Systems: Causes, Consequences, and Solutions
11-06
Incorporating Ads into Large Language Models Outputs
08-11
The Evolution of Multi-task Learning Based Video Recommender Systems - Part 2
06-22
The Evolution of Multi-task Learning Based Video Recommender Systems - Part 1
06-16
An Introduction to Multi-Task Learning based Recommender Systems
01-26
A Guide to User Behavior Modeling
01-07
2023
Strategies for Effective and Efficient Text Ranking Using Large Language Models
12-26
Prompting-based Methods for Text Ranking Using Large Language Models
12-20
Generative Retrieval for End-to-End Search Systems
09-06
Representing Users and Items in Large Language Models based Recommender Systems
06-18
Shallow Embedding Models for Heterogeneous Graphs
05-30
Tuning Large Language Models for Recommendation Tasks
05-21
ChatGPT-based Recommender Systems
05-15
Shallow Embedding Models for Homogeneous Graphs
05-07
A Guide to Graph Representation Learning
04-30
Mixture-of-Experts based Recommender Systems
04-23
Diffusion Modeling based Recommender Systems
04-17
Zero and Few Shot Recommender Systems based on Large Language Models
04-10
Twitter's For You Recommendation Algorithm
04-04
Self-Supervised Contrastive Approaches for Video Representation Learning
03-27
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