{"_buckets": {"deposit": "f88dbeb3-52d8-493f-b3d8-6490499a1181"}, "_deposit": {"created_by": 45, "id": "6639", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "6639"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00006639", "sets": ["user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "A Personalized Recommendation System Using Collaborative Filtering With Feature Based Sentiment Analysis", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Recommendation systems help users to deal with the\ninformation overload problem by producing personalized\ncontent according to their interests. For presenting the\npersonalized recommendation according to the new\nuser’s demand is big challenge. Beyond the traditional\nrecommender strategies, there is a growing effort to\nincorporate users’ reviews into the recommendation\nprocess, since they provide a rich set of information\nregarding both items’ features and users’ preferences.\nThis proposal proposes a recommender system that uses\nusers’ reviews and preference of new users to meet the\nindividual interest."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Recommender system"}, {"interim": "Preferences"}, {"interim": "Review"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-11-26"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "A Personalized Recommendation System Using Collaborative Filtering With Feature Based Sentiment Analysis.pdf", "filesize": [{"value": "278 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 278000.0, "url": {"url": "https://meral.edu.mm/api/files/f88dbeb3-52d8-493f-b3d8-6490499a1181/A%20Personalized%20Recommendation%20System%20Using%20Collaborative%20Filtering%20With%20Feature%20Based%20Sentiment%20Analysis.pdf"}, "version_id": "792bc19e-ae02-4ae1-9d3c-6c2ae93191c8"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICAIT-2017", "subitem_c_date": "1-2 November, 2017", "subitem_conference_title": "1st International Conference on Advanced Information Technologies", "subitem_place": "Yangon, Myanmar", "subitem_session": "Workshop Session", "subitem_website": "https://www.uit.edu.mm/icait-2017/"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Nyein Ei Ei Kyaw"}, {"subitem_authors_fullname": "Thinn Thinn Wai"}, {"subitem_authors_fullname": "Thiri Haymar Kyaw"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2017-11-02"}, "item_title": "A Personalized Recommendation System Using Collaborative Filtering With Feature Based Sentiment Analysis", "item_type_id": "21", "owner": "45", "path": ["1605779935331"], "permalink_uri": "https://meral.edu.mm/records/6639", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-11-26"}, "publish_date": "2020-11-26", "publish_status": "0", "recid": "6639", "relation": {}, "relation_version_is_last": true, "title": ["A Personalized Recommendation System Using Collaborative Filtering With Feature Based Sentiment Analysis"], "weko_shared_id": -1}