Pinned Repositories
LLMJudge
LLMJudge: LLM4Eval workshop data challenge on automatic relevance judgment
LLMJudge-benchmark
Judging the Judges: A Collection of LLM-Generated Relevance Judgements
FairRecSys
[Official Codes] Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)
JudgeBlender
JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment
LBSNDatasets
Location-Based Social Networks Datasets
LGLMF
LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation
LRSbasics
Basics of Recommender Systems: Study of Location-Based Social Networks
STACP
Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020
SynDL
[Official Codes] SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval [WWW '25]
SyntheticTestCollections
[Official Codes] Synthetic Test Collections for Retrieval Evaluation (SIGIR 2024)
rahmanidashti's Repositories
rahmanidashti/FairRecSys
[Official Codes] Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)
rahmanidashti/STACP
Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020
rahmanidashti/LGLMF
LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation
rahmanidashti/ACQSurvey
[Official] A Survey on Asking Clarification Questions Datasets in Conversational Systems - ACL 2023
rahmanidashti/CPFairRecSys
[Official Codes] CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems (SIGIR2022)
rahmanidashti/ContextsPOI
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation (TOIS 2022)
rahmanidashti/SyntheticTestCollections
[Official Codes] Synthetic Test Collections for Retrieval Evaluation (SIGIR 2024)
rahmanidashti/PersianStopWords
A complete list of Persian stop words
rahmanidashti/FairBook
FairBook: A Reproducibility Study on The Unfairness of Popularity Bias in Book Recommendation (Bias@ECIR 2022)
rahmanidashti/PPINetworkAnalysis
Comparison of Tumor and Normal Cells Protein-Protein Interaction Network Parameters
rahmanidashti/SynDL
[Official Codes] SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval [WWW '25]
rahmanidashti/CalibrationFair
Calibration Fairness
rahmanidashti/FairnessRecSysTutorial
A Jupyter Notebook Tutorial on Popularity Bias in Recommender Systems for AI4SD Course at UCL
rahmanidashti/BeyondAccCalibration
Beyond-Accuracy Calibration
rahmanidashti/BeyondAccProvider
[Official Codes] Provider Fairness and Beyond-Accuracy Trade-offs in Recommender Systems (FAccTRec@RecSys 2023)
rahmanidashti/CPFairRank
[Official Codes] A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems (ACM TORS 2024)
rahmanidashti/CQSatisfaction
[Official Codes] Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness (EACL 2024)
rahmanidashti/FashionRecSurvey
Fashion Recommendation Survey
rahmanidashti/rahmanidashti.github.io
Personal
rahmanidashti/JudgeBlender
JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment
rahmanidashti/2xSMRec
XMRec@WSDMCup
rahmanidashti/ClarQ4ShARC
Test Collections for Clarification Question Generation on Task-oriented Dialogues
rahmanidashti/ContextsFair
[Official Codes] Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation (RecSys 22)
rahmanidashti/DecoderOnlyTransformer
Decoder-Only Transformer
rahmanidashti/FilmSite
A movie website to teach the fundamental concepts of web development
rahmanidashti/LatentMC
This is our implementation for the paper: Pan Li, and Alexander Tuzhilin. "Latent multi-criteria ratings for recommendations." Proceedings of the 13th ACM Conference on Recommender Systems. 2019.
rahmanidashti/rahmanidashti
rahmanidashti/RecBoleExperiments
Testing on RecBole recommendation framework
rahmanidashti/test-fairness
User-oriented Fairness in Recommendation
rahmanidashti/TF2Practices
TensorFlow 2 - Practice