{"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/a-novel-deterministic-framework-for-non","title":"A Novel Deterministic Framework for Non-probabilistic Recommender Systems","arxiv_id":null,"date":"2018-09-02","proceeding":"Emerging Technologies in Data Mining and Information Security, Proceedings of IEMIS 2018 2018 9","authors":["Avinash Bhat","Divya Madhav Kamath","Anitha C"],"abstract":"Recommendation is a technique which helps  and suggests a  user,  any relevant item from  a large information space.  Current  techniques for this purpose include non-probabilistic methods like content-based filtering and collaborative filtering  (CF)  and probabilistic methods like  Bayesian inference and Case-based reasoning methods.  CF algorithms use similarity measures for calculating similarity between users.  In this paper, we propose a novel framework which deterministically switches between the  CF algorithms based on sparsity to improve accuracy of recommendation.","url_abs":"https://link.springer.com/chapter/10.1007/978-981-13-1498-8_8","url_pdf":"https://www.researchgate.net/publication/327389858_A_Novel_Deterministic_Framework_for_Non-probabilistic_Recommender_Systems_Proceedings_of_IEMIS_2018_Volume_2","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":"a-novel-deterministic-framework-for-non","repo_url":"https://github.com/avinashbhat/similarity-item-based","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"bayesian-inference","task_name":"Bayesian Inference"},{"task_slug":"collaborative-filtering","task_name":"Collaborative Filtering"},{"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}