Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

pytorch open-source library for the paper "AdaTT Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations"

Deep Feedback Network for Recommendation

Code for the Paper "ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems"

[AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

A collection of research and application papers of (uncertainty) calibration techniques.

Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework

Papers on Computational Advertising

Contrastive Learning for Conversion Rate Prediction

计算广告召回&模型&创意算法(A collection of research and application papers about Match, Ranking, Targeting and Creatives in Internet advertising.)

计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)

Codes for TPM, a tree based model for watch time prediction

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

最完整的AI算法面试题目仓库，1000道，25个类目

The code of GDCN

在常规推荐系统算法和系统双优化的范式下，一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合，提出了OneRec算法，希望通过平台或外部各种各样的信息来进行知识集成，打破数据孤岛，极大扩充推荐的“Extra World Knowledge”。 已实践的算法包括行为数据，内容描述，社交信息，知识图谱等。在OneRec，每种信息和整体算法的集成是可插拔…

AnimateDiff for AUTOMATIC1111 Stable Diffusion WebUI

animatediff prompt travel

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

How to Index Item IDs for Recommendation Foundation Models

Long-tail Augmented Graph Contrastive Learning for Recommendation, ECML/PKDD 2023

[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"

[SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"