Recommendation Systems

A Cutting-Edge Review of Diffusion Models and Knowledge Graphs

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A Cutting-Edge Review of Diffusion Models and Knowledge Graphs

Approximately 7500 words, suggested reading time 16 minutes. This article introduces a new knowledge graph diffusion model named DiffKG, which combines generative diffusion models with data augmentation paradigms to achieve robust knowledge graph representation learning. The importance of knowledge graphs (graph networks) in recommendation systems is self-evident, but not all relationships are relevant to the … Read more

GAN Implementation in iQIYI Short Video Recommendation Cold Start

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GAN Implementation in iQIYI Short Video Recommendation Cold Start

Introduction: Due to the cold start problem in recommendation systems, recommending new videos to users in video recommendations is a highly challenging issue. The effectiveness of new video recommendations directly affects the stability of the recommendation system’s “metabolism” and the healthy development of the content ecosystem. To address this issue, this article mainly introduces the … Read more

ReRank: The Betrayer and Reshaper of the Ad Recommendation Algorithm Ecosystem

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ReRank: The Betrayer and Reshaper of the Ad Recommendation Algorithm Ecosystem

Author: Huang Chongyuan “Data Insect Nest” Total 23138 words Cover image ssyer.com “ In recommendation systems or computational advertising, ReRank blatantly disrupts the sequence generated by recall, coarse ranking, and fine ranking, yet claims to act in the greater interest. This is a very interesting phase of the algorithm, full of fun and, of course, … Read more

How to Build a Recommendation System Using Word2Vec

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How to Build a Recommendation System Using Word2Vec

Click the “AI Meets Machine Learning” above to select the “Star” public account Heavyweight content delivered to you first Overview Today, recommendation engines are everywhere, and people expect data scientists to know how to build one. Word2Vec is a very popular word embedding used for various NLP tasks. We will use Word2Vec to build our … Read more

Attention Mechanism in Recommendation Systems

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Attention Mechanism in Recommendation Systems

Produced by NewBeeNLP Author: @Uesugi Shoji Leisure Meeting · Information Retrieval When the attention mechanism has become a rather tasteless technique, using or modifying the attention mechanism must focus on telling a good story: that is, ‘Why use Attention, and why modify Attention.’ Currently, from traditional CF, FM methods to NFM, DeepFM, although deep learning … Read more

Recommendation Systems From RAG Perspective: Opportunities and Challenges

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Recommendation Systems From RAG Perspective: Opportunities and Challenges

Wang Haofen, Tongji University, “Hundred Talents Program”, Distinguished Researcher, PhD Supervisor Personal Introduction: Wang Haofen, distinguished researcher and PhD supervisor in the “Hundred Talents Program” at Tongji University. He has served as CTO in frontline artificial intelligence companies for a long time. He is one of the initiators of OpenKG, the world’s largest Chinese open … Read more