Recommender System
نظام التوصية
نظام يتنبّأ بتفضيلات المستخدم ويقترح عناصر (أفلام، منتجات، أغانٍ) من المرجح أن تنال إعجابه، بالاعتماد على سلوكه السابق أو سلوك مستخدمين مشابهين أو خصائص العناصر.
A system that predicts user preferences and suggests items (movies, products, songs) the user is likely to enjoy, based on their past behavior, similar users' behavior, or item properties.
Also translated asمحرك التوصيات، نظام الترشيح، نظام الاقتراحات
First appears in this corpus in: Learning Distributed Representations of Concepts (1986)
Appears in these papers
- BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer2019in the sky ✦
- BPR: Bayesian Personalized Ranking from Implicit Feedback2009in the sky ✦
- BPR: Bayesian Personalized Ranking from Implicit Feedback2009in the sky ✦
- Deep Interest Network for Click-Through Rate Prediction2018in the sky ✦
- Deep Interest Network for Click-Through Rate Prediction2018in the sky ✦
- Learning Distributed Representations of Concepts1986in the sky ✦
- GroupLens: An Open Architecture for Collaborative Filtering of Netnews1994in the sky ✦
- GroupLens: An Open Architecture for Collaborative Filtering of Netnews1994in the sky ✦
- Amazon.com Recommendations: Item-to-Item Collaborative Filtering2003in the sky ✦
- Amazon.com Recommendations: Item-to-Item Collaborative Filtering2003in the sky ✦
- Latent Dirichlet Allocation2003in the sky ✦
- Matrix Factorization Techniques for Recommender Systems2009in the sky ✦
- Matrix Factorization Techniques for Recommender Systems2009in the sky ✦
- Neural Collaborative Filtering2017in the sky ✦
- PinSage: Graph Convolutional Neural Networks for Web-Scale Recommender Systems2018in the sky ✦
- Wide & Deep Learning for Recommender Systems2016in the sky ✦
- Wide & Deep Learning for Recommender Systems2016in the sky ✦
- Deep Neural Networks for YouTube Recommendations2016in the sky ✦
- Deep Neural Networks for YouTube Recommendations2016in the sky ✦