Open AccessIncremental Refinement of Relevance Rankings: Introducing a New Method Supported with Pennant Retrieval
Author(s) -
Müge Akbulut,
Yaşar Tonta
Publication year - 2022
Publication title -
türk kütüphaneciliği/türk kütüphaneciliği
Language(s) - English
Resource type - Journals
eISSN - 2147-9682
pISSN - 1300-0039
DOI - 10.24146/tk.1062751
Subject(s) - relevance (law) , information retrieval , computer science , ranking (information retrieval) , learning to rank , citation , scalability , similarity (geometry) , data mining , artificial intelligence , world wide web , database , political science , law , image (mathematics)