/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

Primary LanguagePython

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

00_Embedding

01_Matching

ANN

Graph_Neural_Networks

02_Pre-ranking

03_Ranking

Classic

DNN

Delayed-Feedback-Problem

Feature-Crossing

Longterm-Sequence-Modeling

Loss

Multi-Modal

Multi-domain-Multi-Scenario

Multi-task

Pre-training

Sequence-Modeling

Trigger

04_Post-ranking

Seq2Slate

05_Relevance

06_Cascade

07_Large_Model

CV

Deep_Learning

LLM

MOE

Multimodal

Self_Supervised_Learning

08_Transfer_Learning

Cross-domain

Meta-Learning

Transfer

09_Reinforcement_Learning

Conference

KDD2023

KDD2024

Corporation

Google

JDRecSys

TaobaoSearch