Introduction: Recently, the problem of diversification of search results has attracted a lot of attention in the information retrieval and Web search research community. For multi-faceted or ambiguous queries, a search engine is generally favoured if it is able to identify relevant documents on a wider range of different aspects. Method: We…

Introduction: The concept and study of relevance has been a central subject in information science. Although research in information retrieval has been focused on topical relevance, other kinds of relevance are also important and justify further study. Motivational relevance is typically inferred by criteria such as user satisfaction and success.…

Introduction: Opinion mining has been receiving increasing attention from a broad range of scientific communities since early 2000s. The present study aims to systematically investigate the intellectual structure of opinion mining research. Method: Using topic search, citation expansion, and patent search, we collected 5,596 bibliographic records…

Introduction: The purpose of this study is to replicate a study from 2007, which found that student users trust in Google's ability to rank results more than in their own relevance judgements. Method: In a between-subjects experiment using eye-tracking methodology, participants (n=25) worked on search tasks where the results ranking on search…

Introduction: The purpose of this paper is to provide a framework for building a consumer health ontology using social tags. This would assist health users when they are accessing health information and increase the number of documents relevant to their needs. Methods: In order to extract concepts from social tags, this study conducted an…

Introduction: Computer scientists and other researchers often make their programs freely available online. If this software makes a valuable contribution inside or outside of academia then its creators may want to demonstrate this with a suitable indicator, such as download counts. Methods: Download counts, citation counts, labels and licenses…

Introduction: Despite the popularity of crowdsourcing, the reliability of crowdsourced output has been questioned since crowdsourced workers display varied degrees of attention, ability and accuracy. It is important, therefore, to understand the factors that affect the reliability of crowdsourcing. In the context of producing relevance judgments,…

Introduction: The use of averaged topic-level scores can result in the loss of valuable data and can cause misinterpretation of the effectiveness of system performance. This study aims to use the scores of each document to evaluate document retrieval systems in a pairwise system evaluation. Method: The chosen evaluation metrics are document-level…

Background: During the last fifty years, improved information retrieval techniques have become necessary because of the huge amount of information people have available, which continues to increase rapidly due to the use of new technologies and the Internet. Stemming is one of the processes that can improve information retrieval in terms of…

Introduction: The article contributes to conceptual studies of information behaviour research by examining the conceptualisations of information seeking and related terms such as information search and browsing. Method: The study builds on Bates' integrated model of information seeking and searching, originally presented in 2002. The model was…

Introduction: Studies have indicated that users' text highlighting behaviour can be further manipulated to improve the relevance of retrieved results. This article reports on a study that examined users' text highlight frequency, length and users' copy-paste actions. Method: A binary voting mechanism was employed to determine the weights for the…

Introduction: This study examines the effects of certain key factors on users' intention to ultimately adopt and use video digital libraries for facilitating their information needs. The individual factors identified for this study, based on their given potential to influence use and acceptance of video digital libraries, were categorised for data…

Introduction. This paper deals with the impact of contextual features, such as sex, age, mother tongue, health status, health literacy, Internet use experience, and frequency of health information seeking on health information searching. Method. An interactive information retrieval approach was used to study users' searching behaviour. An online…

Introduction: Research and theory on the topics of information seeking and retrieval have been plagued by some fundamental problems for several decades. Many of the difficulties spring from mechanistic and instrumental thinking and modelling. Method: Existing models of information retrieval and information seeking are examined for efficacy in a…

Introduction: In the big data age, we have to deal with a tremendous amount of information, which can be collected from various types of sources. For information search systems such as Web search engines or online digital libraries, the collection of documents becomes larger and larger. For some queries, an information search system needs to…