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Recommender Systems
14
Embedding Collapse in Recommender Systems: Causes, Consequences, and Solutions
The Evolution of Multi-task Learning Based Video Recommender Systems - Part 2
The Evolution of Multi-task Learning Based Video Recommender Systems - Part 1
An Introduction to Multi-Task Learning based Recommender Systems
A Guide to User Behavior Modeling
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Information Retrieval
8
Incorporating Ads into Large Language Models Outputs
Strategies for Effective and Efficient Text Ranking Using Large Language Models
Prompting-based Methods for Text Ranking Using Large Language Models
Generative Retrieval for End-to-End Search Systems
Positive and Negative Sampling Strategies for Representation Learning in Semantic Search
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Software Engineering
5
Comparing NoSQL Models: A Guide for Selecting the Best-fitting Database Model
SQL vs NoSQL vs NewSQL: An In-depth Literature Review
Effective LeetCode: Understanding the Sliding Window Pattern
How Twitter Reduced Search Indexing Latency to One Second
Skip List Data Structure - Explained!
Graph Learning
3
Shallow Embedding Models for Heterogeneous Graphs
Shallow Embedding Models for Homogeneous Graphs
A Guide to Graph Representation Learning
NLP
2
Towards Empathetic Dialogue Systems
Building a spell-checker with FastText word embeddings
Time Series
2
Specialized Deep Learning Architectures for Time Series Forecasting
Statistical vs Machine Learning vs Deep Learning Modeling for Time Series Forecasting
Computer Vision
1
Self-Supervised Contrastive Approaches for Video Representation Learning