2026-05-02T05:50:01Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/3254 2021-12-13T04:44:45Z 1582963302567:1597824273898 user-ucsy

Recommendation in Online Electronic Devices Shopping System using Item-to-Item Collaborative Filtering Method Khine, May Thin Thin Aung, Khaing Khaing The World Wide Web information growsexplosively in the Internet and people encounterproblem to pick some correct things from theoverwhelming set of choices. The recommendersystems help them choose something they actuallywant or need. Many of the E-commerce Web sitesare already using recommender systems tofacilitate their buyingprocess. Collecting tasteinformation from many users is important torecommend relevant items to the user. The systemintends to recommend most relevant items in theonline electronic devices shopping system. In thissystem Item-to-Item collaborative filtering methodmakes recommendations about the interest of auser based on history data. Cosine similarity isused to compute the similarity between two itempairs. 2017-12-27 http://hdl.handle.net/20.500.12678/0000003254 https://meral.edu.mm/records/3254