{"created":"2020-09-01T13:18:13.761210+00:00","id":3681,"links":{},"metadata":{"_buckets":{"deposit":"c6e23b06-caac-4d72-b668-e77ce23dcd2d"},"_deposit":{"id":"3681","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3681"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3681","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Recommending Generalized Products in Collaborative Filtering","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Recommender systems are particularly useful forcomputer users, here decisions must be normallytaken in a short time and the effort required forinteracting with the system must be limited as muchas possible. The Recommendation systems can helpthe user to take a decision suggesting those productswhich best suit his needs and preferences.Recommendation systems have been an importantapplication area and the focus of considerablerecent academic and commercial interest. In theclassical collaborative filtering recommendationapproach, the voting prediction method is based onthe computation of the similarity of the active user,to whom a recommendation has to be made, with theother users .Collaborative filtering (CF) describes avariety of processes that automate the interactionsof human advisors; a collaborative filterrecommends items based upon the opinions ofhuman advisors. In this paper, we implement therecommendation system are the use of Voting byCategory method in memory-based collaborativefiltering method."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-29"}],"displaytype":"preview","filename":"3683.pdf","filesize":[{"value":"418 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3681/files/3683.pdf"},"version_id":"f5e75714-9c5a-4dbc-ba28-54563bc06eb9"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Fourth Local Conference on Parallel and Soft Computing","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Htun, Aye Kaday"},{"subitem_authors_fullname":"Zaw, Wint Thida"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2009-12-30"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/1421"},"item_title":"Recommending Generalized Products in Collaborative Filtering","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-29","publish_status":"0","recid":"3681","relation_version_is_last":true,"title":["Recommending Generalized Products in Collaborative Filtering"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-03-24T23:16:06.083696+00:00"}