{"created":"2020-09-01T15:36:16.087044+00:00","id":4980,"links":{},"metadata":{"_buckets":{"deposit":"a205e361-cdee-44ed-bf54-f025fa337eee"},"_deposit":{"id":"4980","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4980"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4980","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Analysis of User-based and Item-based Prediction Algorithms for Recommender System","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Recommender Systems typically use techniquesfrom collaborative filtering which recommend itemsthat users with similar preferences have liked in thepast and, also predict new rating by averagingratings between pairs of similar users or items.Predictions come from three sources: predictionsbased on ratings of the same item by other users,predictions based on different item ratings made bythe same user, and ratings predicted based on datafrom other but similar users rating other but similaritems. In this system, we use prediction algorithms toprovide users with items that match their interestsbased on collaborative filtering (CF) approach. Oursystem use similarity measures between users, andalso between items from a single rating criteria .Weprovide analysis of user-based and item-basedprediction algorithms. The accuracy of thealgorithms is compared by Mean Absolute Error."}]},"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":"2019-07-12"}],"displaytype":"preview","filename":"psc2010paper (146).pdf","filesize":[{"value":"69 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4980/files/psc2010paper (146).pdf"},"version_id":"39f5b889-6d28-4ec2-907e-10e6144cea66"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Fifth 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":"Wai, Chit Hnin"},{"subitem_authors_fullname":"Soe, Khin Thanda"}]}]},"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":"2010-12-16"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/878"},"item_title":"Analysis of User-based and Item-based Prediction Algorithms for Recommender System","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-12","publish_status":"0","recid":"4980","relation_version_is_last":true,"title":["Analysis of User-based and Item-based Prediction Algorithms for Recommender System"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T04:09:02.452012+00:00"}