{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/an-implicit-trust-network-construction","title":"An Implicit Trust-Network construction approach and a Recommendation Methodology for recommender systems","arxiv_id":null,"date":"2022-02-21","proceeding":"Software Impacts 2022 2","authors":["Reza Barzegar Nozari","Hamidreza Koohi"],"abstract":"Implicit Trust-Network approach and Recommendation Methodology are employed following the building of a recommender system to improve prediction precision and recommendation quality. Implicit trust-network enhances the prediction exactness of users’ preference in the system. The recommendation methodology increases the quality of recommendations. Both methods of implicit trust-network and recommendation methodology are combined to introduce a new robust recommender system called Implicit Trust-Network-based Recommendation Methodology (ITNRM). An open-source ITNRM by MATLAB is prepared to be available with no external dependencies to employ or further extension.","url_abs":"https://www.sciencedirect.com/science/article/pii/S2665963822000136","url_pdf":"https://www.softwareimpacts.com/action/showPdf?pii=S2665-9638%2822%2900013-6","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"an-implicit-trust-network-construction","repo_url":"https://github.com/RezaBN/ITNRM-Implicit-Trust-Network-based-Recommendation-Methodology","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"prediction","task_name":"Prediction"},{"task_slug":"recommendation-systems","task_name":"Recommendation Systems"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}