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.

keep lambdas warm and monitor cold starts with a simple decorator

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

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.

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

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

[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

[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

This is the official code of GAR.

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)

Deep-learning-based service recommendation in a cold-start scenario of mashup development

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

Proving Recommendations in case of Cold-start situations

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

A service which creates a user preferences profile in order to solve the cold start issue for the recommending systems