Results 61 to 70 of about 250,954 (220)

A supervised term ranking model for diversity enhanced biomedical information retrieval

open access: yesBMC Bioinformatics, 2019
Background The number of biomedical research articles have increased exponentially with the advancement of biomedicine in recent years. These articles have thus brought a great difficulty in obtaining the needed information of researchers.
Bo Xu   +9 more
doaj   +1 more source

Comparative Study of Ranking Algorithms Supporting Search Result Diversification [PDF]

open access: yesJisuanji gongcheng, 2016
Recently,researchers in the field of information retrieval have proposed many ranking algorithms supporting search result diversification,but there is no literature on the performance analysis and comparison of these algorithms.Based on a traditional ...
CHEN Tingting,HUANG Chunlan,WU Shengli
doaj   +1 more source

A STUDY ON RANKING METHOD IN RETRIEVING WEB PAGES BASED ON CONTENT AND LINK ANALYSIS: COMBINATION OF FOURIER DOMAIN SCORING AND PAGERANK SCORING

open access: yesJUTI: Jurnal Ilmiah Teknologi Informasi, 2008
Ranking module is an important component of search process which sorts through relevant pages. Since collection of Web pages has additional information inherent in the hyperlink structure of the Web, it can be represented as link score and then combined ...
Diana Purwitasari
doaj   +1 more source

Feature Fusion-Based Re-Ranking for Home Textile Image Retrieval

open access: yesMathematics
In existing image retrieval algorithms, negative samples often appear at the forefront of retrieval results. To this end, in this paper, we propose a feature fusion-based re-ranking method for home textile image retrieval, which utilizes high-level ...
Ziyi Miao   +4 more
doaj   +1 more source

MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed

open access: yesFrontiers in Big Data, 2022
Here we study the semantic search and retrieval problem in biomedical digital libraries. First, we introduce MedGraph, a knowledge graph embedding-based method that provides semantic relevance retrieval and ranking for the biomedical literature indexed ...
Islam Akef Ebeid
doaj   +1 more source

Multi-Dimensional Scattered Ranking Methods for Geographic Information Retrieval* [PDF]

open access: yesGeoInformatica, 2005
Geographic Information Retrieval is concerned with retrieving documents in response to a spatially related query. This paper addresses the ranking of documents by both textual and spatial relevance. To this end, we introduce multi-dimensional scattered ranking, where textually and spatially similar documents are ranked spread in the list, instead of ...
van Kreveld, M.J.   +3 more
openaire   +2 more sources

Remote Sensing Image Retrieval by Deep Attention Hashing With Distance-Adaptive Ranking

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
With the joint advancement of numerous related fields of remote sensing, the amount of remote sensing data is growing exponentially. As an essential remote sensing Big Data management technique, content-based remote sensing image retrieval has attracted ...
Yichao Zhang   +2 more
doaj   +1 more source

A Hybrid Large Language Model for Context-Aware Document Ranking in Telecommunication Data

open access: yesIEEE Access
Large language models (LLMs) have drawn a lot of attention due to their exceptional comprehension and reasoning capabilities. The development of LLM methods are leading to countless prospects for the automation of numerous tasks in the telecommunication ...
Abhay Bindle   +5 more
doaj   +1 more source

Role of Ranking Algorithms for Information Retrieval

open access: yesInternational Journal of Artificial Intelligence & Applications, 2012
Keywords: Page Rank, Web Mining, Web Structured Mining, Web Content ...
Choudhary, Laxmi   +1 more
openaire   +2 more sources

A Purely Entity-Based Semantic Search Approach for Document Retrieval

open access: yesApplied Sciences, 2023
Over the past decade, knowledge bases (KB) have been increasingly utilized to complete and enrich the representation of queries and documents in order to improve the document retrieval task.
Mohamed Lemine Sidi, Serkan Gunal
doaj   +1 more source

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