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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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