Fuzzy Logic Ranking for Personalized Geographic Information Retrieval [PDF]
, 2012 This work describes a novel fuzzy logic system designed to meet the real world demand of providing intelligent ranking to large repositories of documents previously encoded with non-fuzzy (crisp) metadata. The fuzzy logic prototype was tested in practice to complement the GeoConnections Discovery Portal, which is a web portal for specialized search and
Garnett Wilson +2 more
openaire +1 more source
Extracting Emotion Causes Using Learning to Rank Methods From an Information Retrieval Perspective
IEEE Access, 2019 Emotion cause extraction is a challenging task for the fine-grained emotion analysis. Even though a few studies have addressed the task using clause-level classification methods, most of them have partly ignored emotion-level context information.
Bo Xu +5 more
doaj +1 more source
Document re-ranking based on automatically acquired key terms in Chinese information retrieval [PDF]
, 2004 Lingpeng Yang, Donghong Ji, Li Tang
openalex +1 more source
A Deep Look into Neural Ranking Models for Information Retrieval [PDF]
Information Processing & Management, 2019 J. Guo +8 more
semanticscholar +1 more source
Beyond Precision and Recall: Measuring Search Engine Consistency Using Rank Stability
IEEE AccessTraditional information retrieval metrics assess document relevance but neglect ranking stability—a critical factor in today’s dynamic web environments where search algorithms constantly evolve.
Krishnan Batri +4 more
doaj +1 more source
On the limitations of document ranking algorithms in information retrieval [PDF]
, 1981 Keith H. Stirling
openalex +1 more source
When information retrieval measures agree about the relative quality of document rankings
, 2021 Robert M. Losee
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大数据Computer education is one of the requirements of modern information society education. With the development of large language models, there has been increasing attention on applying these models to the computer education process.
SUN Haoran +3 more
doaj +4 more sources
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval
, 2021 Minghan Li +4 more
openalex +1 more source
Ranking of Search Requests in the Digital Information Retrieval System Based on Dynamic Neural Networks [PDF]
, 2022 Viera Bartošová +4 more
openalex +1 more source