Results 11 to 20 of about 1,130,991 (283)
Using Relevance Feedback in Expert Search [PDF]
, 2007 In Enterprise settings, expert search is considered an important task. In this search task, the user has a need for expertise - for instance, they require assistance from someone about a topic of interest. An expert search system assists users with their "expertise need" by suggesting people with relevant expertise to the topic of interest.
Macdonald, C., Ounis, I.
openaire +4 more sources
Incorporating user search behaviour into relevance feedback [PDF]
, 2003 In this paper we present five user experiments on incorporating behavioural information into the relevance feedback process. In particular we concentrate on ranking terms for query expansion and selecting new terms to add to the user's query.
Beaulieu +27 more
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QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback
IEEE Access, 2021 Pseudo relevance feedback (PRF) automatically performs query expansion based on top-retrieved documents to better represent the user’s information need so as to improve the search results.
Handong Ma +8 more
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Content-Based Medical Image Retrieval Based on Image Feature Projection in Relevance Feedback Level [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2014 The purpose of this study is to design a content-based medical image retrieval system and provide a new method to reduce semantic gap between visual features and semantic concepts.
Mohammad Behnam, Hossein Pourghasem
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Query Expansion Based on Top-Ranked Images for Content-Based Medical Image Retrieval
IEEE Access, 2020 Recently the collection of varied digital image databases has increased. Many users have found that searching and retrieving required images from large collections are very difficult tasks, and successful and effective retrieval methods were developed to
Ali Ahmed, Sharaf J. Malebary
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Video information retrieval using objects and ostensive relevance feedback [PDF]
, 2004 In this paper, we present a brief overview of current approaches to video information retrieval (IR) and we highlight its limitations and drawbacks in terms of satisfying user needs.
Browne, Paul
core +1 more source
Exploring accumulative query expansion for relevance feedback [PDF]
, 2010 For the participation of Dublin City University (DCU) in the Relevance Feedback (RF) track of INEX 2010, we investigated the relation between the length of relevant text passages and the number of RF terms.
D.E. Losada +5 more
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Implementing Relevance Feedback for Content-Based Medical Image Retrieval
IEEE Access, 2020 Content-based image medical retrieval (CBMIR) is a technique for retrieving medical images on the basis of automatically derived image features such as colour, texture and shape. There are many applications of CBMIR, such as teaching, research, diagnosis
Ali Ahmed
doaj +1 more source
The use of implicit evidence for relevance feedback in web retrieval [PDF]
, 2002 In this paper we report on the application of two contrasting types of relevance feedback for web retrieval. We compare two systems; one using explicit relevance feedback (where searchers explicitly have to mark documents relevant) and one using implicit
A. Spink +7 more
core +3 more sources
Research on relevance: A systematic review
Iranian Journal of Information Processing & Management, 2021 Relevance is one of the concepts that many researchers consider it fundamental in information retrieval. Recently, relevance has also been given attention in Iran about which multiple studies have been conducted.
Yaghoub Norouzi +2 more
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