{"_buckets": {"deposit": "5a5d541e-05cc-4920-8fed-d77bf6a4bc57"}, "_deposit": {"id": "4077", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4077"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4077", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Implementation of Recommender System for Book Store Using Decision Tree Technique", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The proposed system is the recommender system for book store using decision tree induction technique which is the data mining technique of the recommendation to extract rules in terms of entropy and information gain and to recommend the item to the customer. There had been various kinds of recommendation systems with different techniques. The recommendation system is to recommend the item that the customers wanted to buy and easy buying for customers .In addition ,many vendors are trying to compete each other to give good services to the customers who use their system to get their satisfaction and to promote and sale their product. The proposed system can determine what kind of item the customer really want to buy ."}]}, "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": "2019-08-05"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "55184.pdf", "filesize": [{"value": "580 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 580000.0, "url": {"url": "https://meral.edu.mm/record/4077/files/55184.pdf"}, "version_id": "806ea613-dc7d-4a6c-9abe-e29bcb6948a9"}]}, "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": "Chaw, Hnin Thiri"}, {"subitem_authors_fullname": "Htwe, Ah Nge"}]}]}, "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/123456789/1782"}, "item_title": "Implementation of Recommender System for Book Store Using Decision Tree Technique", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004077", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-08-05"}, "publish_date": "2019-08-05", "publish_status": "0", "recid": "4077", "relation": {}, "relation_version_is_last": true, "title": ["Implementation of Recommender System for Book Store Using Decision Tree Technique"], "weko_shared_id": -1}