conversational-recommender-system

There are 2 repositories under conversational-recommender-system topic.

lisk123 / UCCR
User-Centric Conversational Recommendation with Multi-Aspect User Modeling (UCCR)
conversational-recommender-system sigir2022 user-modeling
Language:Python 35
RUCAIBox / CFCRS
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
conversation conversational-ai conversational-bots dialog dialogue dialogue-systems recommendation recommendation-system recommender-system conversational-recommender-system data-augmentation data-augmentation-strategies data-augumentation pretrained-language-model pretrained-models pretraining conversational-recommendation
Language:Python 11
Zilize / MHIM
Official PyTorch implementation for "Multi-grained Hypergraph Interest Modeling for Conversational Recommendation".
conversational-recommendation conversational-recommender-system deep-learning dialogue-systems hypergraph-learning hypergraph-neural-networks recomender-system
Language:Python 8
wxl1999 / CFCRS
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
conversation conversational-ai conversational-bots conversational-recommendation conversational-recommender-system data-augmentation data-augmentation-strategies data-augmentations dialog dialogue dialogue-systems recommendation recommendation-system recommender-system pretrained-language-model pretrained-models pretraining
Language:Python 6
wangxieric / Bias-CRS
[Official Code] Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation
bias-analysis conversational-recommender-system data-augmentation language-model
Language:Jupyter Notebook 5
Clemenciah / AB-ReDial
Aspect Based ReDial(AB-ReDial): Is a subset data from ReDial annotated on six dialogue aspects and overall user satisfaction at the turn and dialogue levels with the following aspects; relevance, interestingness, understanding, task completion, interest arousal, and efficiency
conversational-recommender-system dataset user-satisfaction interestingness understanding task-completion dialogue-systems relevance
1
braadbaart / navi-tv
Conversational recommender system research
conversational-agents conversational-recommender-system generative-ai recommender-system
Language:Python
Sarvesh1814 / Recommendation_System
Recommendation Systems with mathematical modelling
collaborative-filtering content-based-recommendation conversational-recommender-system hybrid-recommender-system latent-factor-model baseline-recommendation
Language:Jupyter Notebook