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Experiments with LLMs for finding math content similarity

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This repository contains the resources used for RecSys'2024 submission "Towards Better STEM Recommendations: A Gold-Standard Dataset with Math content"

Install Dependencies

Please run the following to install dependencies for running the scripts to obtain results (it is recommended to create a virtual environment first).

pip install -r requirements.txt

Dataset

The documents are obtained via zbMATHOpen API https://api.zbmath.org/v1/ The ID of documents can be obtained from repo: https://zenodo.org/records/5062959

To obtain metadata if all documents such as title, abstract, keywords, MSCs, citations, author names, etc please run

python /src/hybrid/feature_simil/getDataset.py

Evaluation results

Baselin models (Table 2)

To get evaluation results of basline, please go to follow the mentioned steps:

reproducing_results/Baseline/

Initial Ranker candidates (Table 3)

To get evaluation results of Initial Ranker, go to follow the mentioned steps:

reproducing_results/InitialRanker/

Re-anker candidates (Table 4)

To get evaluation results of Re-ranker, go to follow the mentioned steps:

reproducing_results/Re-ranker/

User study (HyMathRec Evaluation, Table 5 and Table 6)

Annotations of 4 annotators are available in the folder

src/hybrid/originalAnno/

To calculate Kappa scores and evaluation scores (Precision, Recall, F1, MRR, nDCG), run

python src/hybrid/userAnnoEval.py

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Experiments with LLMs for finding math content similarity

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