Hossein A. Rahmani (rahmanidashti)

rahmanidashti

User data from Github https://github.com/rahmanidashti

Company:University College London

Location:London, United Kingdom

Home Page:rahmanidashti.github.io

GitHub:@rahmanidashti

Twitter:@srahmanidashti


Organizations
llm4eval
maslabznu
OUTPLUS
wiucl
ZNUSSCO

Hossein A. Rahmani's repositories

FairRecSys

[Official Codes] Experiments on Generalizability of User-Oriented Fairness in Recommender Systems (SIGIR 2022)

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STACP

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

LGLMF

LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation

ACQSurvey

[Official] A Survey on Asking Clarification Questions Datasets in Conversational Systems - ACL 2023

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CPFairRecSys

[Official Codes] CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems (SIGIR2022)

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ContextsPOI

A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation (TOIS 2022)

SyntheticTestCollections

[Official Codes] Synthetic Test Collections for Retrieval Evaluation (SIGIR 2024)

PersianStopWords

A complete list of Persian stop words

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FairBook

FairBook: A Reproducibility Study on The Unfairness of Popularity Bias in Book Recommendation (Bias@ECIR 2022)

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PPINetworkAnalysis

Comparison of Tumor and Normal Cells Protein-Protein Interaction Network Parameters

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SynDL

[Official Codes] SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval [WWW '25]

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CalibrationFair

Calibration Fairness

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FairnessRecSysTutorial

A Jupyter Notebook Tutorial on Popularity Bias in Recommender Systems for AI4SD Course at UCL

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BeyondAccCalibration

Beyond-Accuracy Calibration

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BeyondAccProvider

[Official Codes] Provider Fairness and Beyond-Accuracy Trade-offs in Recommender Systems (FAccTRec@RecSys 2023)

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CPFairRank

[Official Codes] A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems (ACM TORS 2024)

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CQSatisfaction

[Official Codes] Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness (EACL 2024)

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FashionRecSurvey

Fashion Recommendation Survey

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JudgeBlender

JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment

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2xSMRec

XMRec@WSDMCup

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ClarQ4ShARC

Test Collections for Clarification Question Generation on Task-oriented Dialogues

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ContextsFair

[Official Codes] Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation (RecSys 22)

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DecoderOnlyTransformer

Decoder-Only Transformer

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FilmSite

A movie website to teach the fundamental concepts of web development

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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.

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RecBoleExperiments

Testing on RecBole recommendation framework

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test-fairness

User-oriented Fairness in Recommendation

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TF2Practices

TensorFlow 2 - Practice

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