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Years teach us more than books
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Years teach us more than books

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@maslabznu @OUTPLUS @ZNUSSCO @llm4eval @wiucl

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rahmanidashti/README.md

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  1. STACP STACP Public

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

    Python 24 6

  2. LGLMF LGLMF Public

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

    Python 18 11

  3. FairRecSys FairRecSys Public

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

    Jupyter Notebook 32 6

  4. ContextsPOI ContextsPOI Public

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

    Python 12 4

  5. FairBook FairBook Public

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

    Jupyter Notebook 4 1

  6. llm4eval/LLMJudge llm4eval/LLMJudge Public

    LLMJudge: LLM4Eval workshop data challenge on automatic relevance judgment

    Jupyter Notebook 3 2