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.

Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling

Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.

ColdRec: An Open-Source Toolbox for Cold-Start Recommendation.

Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)

keep lambdas warm and monitor cold starts with a simple decorator

Offical Code of MICCAI'25 Best-Paper-Shortlist paper "MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization"

A recommender engine built for a Bay Area online dating website to maximize the successful matches by introducing hybrid recommender system and reverse match technique.

[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation

Python implementation of "Content-based recommendations with poisson factorization", with some extensions

[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach

This is the official code of GAR.

[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"

[ACL2018] Cold-Start Aware User and Product Attention for Sentiment Classification

Code for Blog Post: Can Better Cold-Start Strategies Improve RL Training for LLMs?

Source code for GIFT (CIKM 22)

Code for ColdNAS: Search to Modulate for User Cold-Start Recommendation. WebConf 2023

Source codes and datasets for paper "Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives" (AAAI2024)

Temporally and Distributionally Robust Optimization for Cold-start Recommendation (AAAI'24)

From Zero to Hero: Cold-Start Anomaly Detection (ACL 2024)