The recommendation system meets deep learning (I)-FM model theory and practice: /p/ 152ae633fb00
Recommendation System Encounters Deep Learning (Ⅱ) —— Theory and Practice of ——FFM Model: /p/78 1 CDE 3d 3d
The encounter between recommendation system and deep learning (Ⅲ) —— Theory and practice of DeepFM model;
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Recommend system meets deep learning (Ⅳ) —— Multi-valued discrete feature embedding solution: /p/4a7525c0 18b2
Recommendation system meets deep learning (5)-Deep &; Theory and practice of cross-network model;
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Recommendation system meets deep learning (ⅵ) —— Theory and practice of ——PNN model: /p/be784ab4abc2
Recommendation system meets deep learning (7) —— Theory and practice of ——NFM model:
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Recommendation system meets deep learning (ⅵ)-AFM model theory and practice;
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Recommendation system meets deep learning (9) —— Principle and practice of evaluation index AUC:
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Recommend system meets deep learning (10) —— actual combat ——GBDT+LR fusion scheme
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Recommendation system meets deep learning (XI) —— NCF principle and actual combat of neural collaborative filtering
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The recommendation system encounters deep learning (12)-EE problem. The recommendation system and the basic Bandit algorithm.
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Recommendation System Encounters Deep Learning (XIII) —— Analysis and Implementation of ——linUCB Method
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Recommendation system meets deep learning (14)——DRN: a deep feedback learning framework for news recommendation
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Recommendation system meets deep learning (15) —— Exploration of reinforcement learning in JD.COM's recommendation
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Recommendation system meets deep learning (16) —— Detailed explanation of commonly used evaluation indexes of recommendation system
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Recommendation system meets deep learning (XVII) —— Analysis and implementation of MLR algorithm in Ali
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Recommendation System Meets Deep Learning (18) —— Analysis and Implementation of Exploring Ali Deep Interest Network (DIN)
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Recommendation system meets deep learning (19) —— Exploring Ali's complete space multitasking model ESSM
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Recommendation System Encounters Deep Learning (20)—— Principle and Practice of Bayesian Personalized Ranking Algorithm
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Recommendation system meets deep learning (2 1)- phase review
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Recommended system meets deep learning (22)-DeepFM upgrades XDeepFM model!
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Recommendation system meets deep learning (23)—— Application of IRGAN, a unified information retrieval model, in recommendation field
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Recommendation System Meets Deep Learning (24)—— Dean's Principle and Practice of Deep Interest Evolutionary Network
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Recommendation system meets deep learning (25) —— When knowledge map meets personalized recommendation
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Recommendation system meets deep learning (26)—— Principle and implementation of DKN model combining knowledge map with recommendation system
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Recommendation system meets deep learning (27)—— Principle and implementation of RippleNet model combining knowledge map with recommendation system
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Recommendation system meets deep learning (28)—— Principle and implementation of MKR model combining knowledge map with recommendation system
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Recommendation System Meets Deep Learning (29)—— Theory and Practice of Collaborative Memory Network
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Recommendation System Encounters Deep Learning (30) —— Theory and Practice of Depth Matrix Decomposition Model
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The recommendation system meets deep learning (31)-using self-concern mechanism to recommend items.
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Recommendation system meets deep learning (32)—— Practice mind map of recommendation system
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Recommendation system meets deep learning (33)-similarity model of neural attention items
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Recommendation System Meets Deep Learning (34)——YouTube Deep Learning Recommendation System
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Recommendation System Encounters Deep Learning (35) —— Exploration of Strengthening Learning in JD.COM Recommendation (2)
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Recommendation System Encounters Deep Learning (36)—— Learning and Transfer in E-commerce-Rediscovering ids
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Recommendation system meets deep learning (37)—— An interpretable recommendation system based on multi-task learning
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Recommendation System Encounters Deep Learning (38)-CFGAN: Collaborative Filtering Recommendation Framework Based on GAN
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Recommendation System Encountered Deep Learning (39)—— Evolution of Recommendation System Recall Strategy
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The recommendation system uses recursive neural network to meet the recommendation based on deep learning (40) session.
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The recommendation system conforms to deep learning (4 1)- an improved recursive neural network for session-based recommendation.
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Recommendation system encounters deep learning (42)-Session-based recommendation using graph neural network.
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Recommendation system meets deep learning (43)—— E-commerce recommendation considering micro-behavior of users
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Recommendation system meets deep learning (44)- embedding skills in -Airbnb real-time search ranking
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Recommendation System Encounters Deep Learning (45)—— Exploring Ali Deep Dialogue Interest Network DSIN
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Recommendation System Meets Deep Learning (46)—— Embedding Strategy of Billion-level Commodities in Ali E-commerce Recommendation
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Recommendation System Encountered Deep Learning (47)——TEM: Building Explanatory Recommendation System Based on Tree Model
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Recommendation System Encountered Deep Learning (48) -BST: Applying Transformer to Taobao E-commerce Recommendation
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Recommendation system meets deep learning (49)—— Summary of 9 papers recommended by Ali!
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Recommendation System Encounters Deep Learning (50)—— Using Reinforcement Learning to Optimize User's Long-term Experience
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Recommendation system meets deep learning (5 1)—— On cold start in recommendation system
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Recommendation system meets deep learning (52)——ATRank, a user behavior modeling framework based on attention mechanism.
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The recommendation system encounters deep learning (53) -DUPN: Learning the general representation of users through multitasking.
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Recommendation System Encounters Deep Learning (54) —— Using GAN to Build a Simulation Environment for Reinforcement Learning
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The recommendation system meets deep learning (55)- [Ali] A click rate prediction model DSTN considering the influence of time and space.
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The recommended system meets the deep learning (56)- [Ali] fusion expression learning click rate prediction model DeepMCP.
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The recommendation system meets deep learning (57)- [Ali] How to accurately recommend a screen item?
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Recommendation system meets deep learning (58)—— Sequence recommendation method based on "translation"
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Recommendation system meets deep learning (59)-FAT-DeepFFM, a new friend of FM family.
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Recommendation system meets deep learning (60) —— A new friend of FM family, TransFM
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