https://github.com/snnzhao/mhcpl
공식 코드Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation
Papers with Code 아카이브
Conversational Recommendation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sunnweiwei/metasim
공식 코드Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
https://github.com/superbooming/simtester
공식 코드Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
https://github.com/truthless11/CR-Walker
공식 코드CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation
https://github.com/vbursztyn/critique-to-preference-emnlp2021
공식 코드https://github.com/wangxieric/bias-crs
공식 코드https://github.com/windylee0822/trea
공식 코드TREA: Tree-Structure Reasoning Schema for Conversational Recommendation
https://github.com/wzf2000/macrec
공식 코드MACRec: a Multi-Agent Collaboration Framework for Recommendation
https://github.com/xiwenchao/conTS-TOIS-2021
공식 코드Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users
https://github.com/yaochenzhu/crag
공식 코드Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
https://github.com/yeongseoj/conkd
공식 코드https://github.com/zdchu/metacrs
공식 코드Meta Policy Learning for Cold-Start Conversational Recommendation
https://github.com/zlxxlz1026/cshi
공식 코드https://github.com/zxd-octopus/vricr
공식 코드Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation
https://github.com/zym6-6/mcmipl
공식 코드Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation
https://github.com/RaymondLi0/conversational-recommendations
https://github.com/chongminggao/cirs-codes
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
https://github.com/iai-group/moviebot
https://github.com/pko89403/llm-for-recsys-shadow
MACRec: a Multi-Agent Collaboration Framework for Recommendation
https://github.com/rucaibox/tg_crs_code
https://github.com/xiwenchao/fully_observed_demo
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
https://github.com/xxkkrr/conv_rec_sys
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.