Recommender Systems for Science: A basic Taxonomy

This dataset is accompanying the "<strong>Recommender system for science: A basic taxonomy</strong>" paper published at IRCDL 2022 conference. This study had a Systematic Mapping Approach on the Recommender system for science. In particular, the study aims at responding to four questions on recommender systems in science cases: users and their interests representation, item typologies and their representation, recommendation algorithms, and evaluation, and then providing a taxonomy. This dataset contains <strong>209 papers </strong>of interest that have been published between 2015 and 2022. The dataset has <strong>11</strong> columns which organised as follows: Column <strong>Title: </strong>This column contains the title of the papers. Column <strong>DOI: </strong>This column contains the DOI of the papers. Column <strong>Publication_year</strong>: This column contains the year that the paper is published. Column <strong>DB: </strong>This column contains the repository that the paper is retrieved. Column <strong>Keywords</strong>: This column contains the keywords provided for the paper. Column <strong>Content_type: </strong>This column contains the paper type which can be: <strong>Article,</strong> <strong>Conference</strong> or <strong>Review.</strong> Column <strong>Citing_paper_count: </strong>This column contains the citation number of the paper. Column <strong>Recommended_artefact: </strong>This column contains the scientific product that is recommended to users which can be <strong>paper</strong>, <strong>workflow</strong>, <strong>collaborator</strong>, <strong>dataset</strong> or <strong>others</strong>. Column <strong>User_type: </strong>This column contains the type of user who receives the recommendation, which can be an<strong> Individual </strong>user or a<strong> Group</strong> of users. Column <strong>Algorithm</strong><strong>: </strong>This column contains the recommendation algorithm that the paper proposed, which can be: <strong>HB </strong>(Hybrid-based), <strong>CB</strong> (Content-based), <strong>CFB</strong> (Collaborative-filtering-based), or <strong>GB</strong> (Graph-based). Column <strong>Evaluation_method</strong><strong>: </strong>This column contains the method of the algorithm evaluation which can be <strong>OFFLINE</strong>, <strong>ONLINE, BOTH, </strong>or<strong> NO_EVALUATION.</strong>