{"_buckets": {"deposit": "ff543f9c-8168-431e-8861-0697b1fc54d9"}, "_deposit": {"id": "4419", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4419"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4419", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Personalized Search via Cluster Sensitive Ranking", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Web search has become amazingly powerful inits ability to discover and exploit nearly any kind ofinformation that comprises the web. However, aspowerful and large as current web search engine are ,stilled limited in their ability to always deliver keyservices to their users especially when there is aconsiderable number of user with different searchintentions and needs. In this paper, we study bothanalytically and empirically personalized searchemphasizing their retrieval aspects. We also proposean analytical model for personalized search unifyingfour critical of the problem namely link structure,document content, user queries and user preference."}]}, "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": "2019-10-25"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Personalized Search via Cluster Sensitive Ranking.pdf", "filesize": [{"value": "527 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 527000.0, "url": {"url": "https://meral.edu.mm/record/4419/files/Personalized Search via Cluster Sensitive Ranking.pdf"}, "version_id": "7f2bef46-92a9-46b9-86e8-7cbb571f2470"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Thirteenth International Conference On Computer Applications (ICCA 2015)", "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": "Win, Lai Lai"}]}]}, "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": "2015-02-05"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2353"}, "item_title": "Personalized Search via Cluster Sensitive Ranking", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004419", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-10-25"}, "publish_date": "2019-10-25", "publish_status": "0", "recid": "4419", "relation": {}, "relation_version_is_last": true, "title": ["Personalized Search via Cluster Sensitive Ranking"], "weko_shared_id": -1}