rahmanidashti/LRSbasics

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rahmanidashti/LRSbasics

rahmanidashti

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Basics of Recommender Systems: Study of Location-Based Social Networks

FairRecSys

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

Jupyter Notebook

LBSNDatasets

Location-Based Social Networks Datasets

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

Jupyter Notebook

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)

pretrain-lightfm

Pre-train Embedding in LightFM Recommender System Framework

SyntheticTestCollections

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

PersianStopWords

A complete list of Persian stop words

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

primepathfinder

Prime Path Finder in C

SynDL

SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval

Jupyter Notebook

CalibrationFair

Calibration Fairness

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BeyondAccCalibration

Beyond-Accuracy Calibration

Jupyter Notebook

znuai

Artificial Intelligence Course by the University of Zanjan

CPFairRank

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

thesis-template

BSc Thesis Template

rahmanidashti.github.io

CQSatisfaction

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

Jupyter Notebook

FashionRecSurvey

Fashion Recommendation Survey

BeyondAccProvider

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

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