A service which creates a user preferences profile in order to solve the cold start issue for the recommending systems
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Updated
Feb 15, 2017 - Python
A service which creates a user preferences profile in order to solve the cold start issue for the recommending systems
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.
[ACL2018] Cold-Start Aware User and Product Attention for Sentiment Classification
Collaborating Filtering Project
Deep-learning-based service recommendation in a cold-start scenario of mashup development
[WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
Proving Recommendations in case of Cold-start situations
keep lambdas warm and monitor cold starts with a simple decorator
Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.
Source code for GIFT (CIKM 22)
This is the official code of GAR.
Implementation of paper: Equivariant Learning for Out-of-Distribution Cold-start Recommendation. (backbone model CLCRec) (MM'23)
Code for ColdNAS: Search to Modulate for User Cold-Start Recommendation. WebConf 2023
Python implementation of "Content-based recommendations with poisson factorization", with some extensions
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.
This repository contains the Python implementation of AutoPV for automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.
Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling
Temporally and Distributionally Robust Optimization for Cold-start Recommendation (AAAI'24)
[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"
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