Emoji as an Aid for Information Retrieval: A Viewpoint regarding Metadata, Technology and Improving International Information Seeking

2021 ◽  
pp. 1-6
Author(s):  
Amrollah Shamsi ◽  
Donna Frederick ◽  
Reza BasirianJahromi
Keyword(s):  
Information Retrieval ◽  
Information Seeking

scholarly journals A Dynamic Methodology for Improving the Search Experience

2006 ◽  
Vol 25 (2) ◽  
pp. 78 ◽  
Author(s):  
Marcia D. Kerchner
Keyword(s):  
Information Retrieval ◽  
Systems Engineering ◽  
Information Seeking ◽  
Business Owners ◽  
Early Years ◽  
Search Performance ◽  
Working Relationship ◽  
Help Desk ◽  
Modern Information

In the early years of modern information retrieval, the fundamental way in which we understood and evaluated search performance was by measuring precision and recall. In recent decades, however, models of evaluation have expanded to incorporate the information-seeking task and the quality of its outcome, as well as the value of the information to the user. We have developed a systems engineering-based methodology for improving the whole search experience. The approach focuses on understanding users’ information-seeking problems, understanding who has the problems, and applying solutions that address these problems. This information is gathered through ongoing analysis of site-usage reports, satisfaction surveys, Help Desk reports, and a working relationship with the business owners.

scholarly journals Towards Supporting Community Information Seeking and Use

2007 ◽  
Vol 3 (1) ◽  
Author(s):  
Nkechi Nnadi ◽  
Michael Gurstein
Keyword(s):  
Information Retrieval ◽  
Information Seeking ◽  
Design Guidelines ◽  
Community Context ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Community Information ◽  
Nature Of Information ◽  
Single User ◽  
Collaborative Information Retrieval

In this paper we explore issues surrounding the design of systems that will effectively support community information seeking and use. We discuss the need for information retrieval systems to move away for the single user paradigm to one that recognizes the collaborative nature of information seeking and use. We also examine the collaborative information retrieval literature and derive implications for community informatics. The paper also explores the unique challenges of designing systems to support information seeking and use in a community context, and attempts to provide design guidelines that will enable researchers and practitioners to develop such systems.

Information Retrieval Technologies and the “Realities” of Music Information Seeking

2016 ◽  
pp. 102-121
Author(s):  
Charilaos Lavranos ◽  
Petros Kostagiolas ◽  
Joseph Papadatos
Keyword(s):  
Information Retrieval ◽  
Information Seeking ◽  
Research Area ◽  
Music Technology ◽  
Information Seeking Behavior ◽  
Seeking Behavior ◽  
Evolution Of Music ◽  
Music Information ◽  
Search And Retrieval ◽  
The Way

Music information seeking incorporates the human activities that are carried out for the search and retrieval of music information. In recent years, the evolution of music technology holds a central role affecting the nature of music information seeking behavior. The research area that deals with the accessibility and the retrievability process of music information is known as Music Information Retrieval (MIR). This chapter focuses on the presentation of MIR technologies which has a direct impact in the way that individuals, as well as different music communities such as composers, performers, listeners, musicologists, etc., handle and utilize music information. The aim of this chapter is to investigate the way different music communities interact with MIR systems. Our approach is based on a selected literature review regarding the MIR systems and the information seeking behavior of the musicians.

Conclusions and Future Directions

2008 ◽  
pp. 334-347
Author(s):  
Iris Xie
Keyword(s):  
Information Retrieval ◽  
Digital Libraries ◽  
Information Seeking ◽  
Web Search ◽  
Full Range ◽  
Relevant Information ◽  
Public Access ◽  
Communication Process ◽  
Online Databases ◽  
Digital Environments

The emergence of the Internet has allowed millions of people to use a variety of electronic information retrieval (IR) systems, such as digital libraries, Web search engines, online databases, and Online Public Access Catalogues (OPACs). The nature of IR is interaction. Interactive information retrieval is defined as the communication process between the users and the IR systems. However, the dynamics of interactive IR is not yet fully understood. Moreover, most of the existing IR systems do not support the full range of users’ interactions with IR systems. Instead, they only support one type of information-seeking strategy: how to specify queries by using terms to select relevant information. However, new digital environments require users to apply multiple information-seeking strategies and shift from one information- seeking strategy to another in the information retrieval process.

Interactive IR Models

2008 ◽  
pp. 183-214 ◽  
Author(s):  
Iris Xie
Keyword(s):  
Information Retrieval ◽  
Information Seeking ◽  
Cognitive Model ◽  
Interaction Process ◽  
Information Need ◽  
User Input ◽  
Seeking Behavior ◽  
Nature Of Information ◽  
System Output ◽  
Stratified Model

The nature of information retrieval (IR) is interaction. However, the traditional IR model only focuses on the comparison between user input and system output. It does not illustrate the changeable interaction process (Saracevic, 1997). The human involvement of IR makes the process complicated and dynamic. Belkin (1993) further identified the two underlying assumptions of the traditional IR view: (1) The information need is static, and can be specified; and (2) there is only one form of information-seeking behavior. The limitations of the traditional IR model are becoming more evident. In the 1990s researchers started to develop interactive IR models. Among them, Ingwersen’s cognitive model (1992, 1996), Belkin’s episode model of interaction with texts (1996), and Saracevic’s stratified model (1996a, 1997) are the most cited ones.

Modeling Users for Adaptive Information Retrieval by Capturing User Intent

2011 ◽  
pp. 88-118 ◽  
Author(s):  
Eugene Santos Jr. ◽  
Hien Nguyen
Keyword(s):  
Information Retrieval ◽  
Relevance Feedback ◽  
Information Seeking ◽  
Query Language ◽  
Traditional Approach ◽  
User Model ◽  
Evaluation Methodology ◽  
User Intent ◽  
Document Frequency ◽  
Frequency Weighting

In this chapter, we study and present our results on the problem of employing a cognitive user model for Information Retrieval (IR) in which a user’s intent is captured and used for improving his/her effectiveness in an information seeking task. The user intent is captured by analyzing the commonality of the retrieved relevant documents. The effectiveness of our user model is evaluated with regards to retrieval performance using an evaluation methodology which allows us to compare with the existing approaches from the information retrieval community while assessing the new features offered by our user model. We compare our approach with the Ide dec-hi approach using term frequency inverted document frequency weighting which is considered to be the best traditional approach to relevance feedback. We use CRANFIELD, CACM and MEDLINE collections which are very popular collections from the information retrieval community to evaluate relevance feedback techniques. The results show that our approach performs better in the initial runs and works competitively with Ide dec-hi in the feedback runs. Additionally, we evaluate the effects of our user modeling approach with human analysts. The results show that our approach retrieves more relevant documents to a specific analyst compared to keyword-based information retrieval application called Verity Query Language.

scholarly journals Information on ethical issues in health technology assessment: How and where to find them

2010 ◽  
Vol 26 (4) ◽  
pp. 441-449 ◽  
Author(s):  
Sigrid Droste ◽  
Charalabos-Markos Dintsios ◽  
Andreas Gerber
Keyword(s):  
Information Retrieval ◽  
Information Seeking ◽  
Ethical Issues ◽  
Research Question ◽  
Methodological Approach ◽  
Health Technology ◽  
Search Strategies ◽  
Assessment Process ◽  
Bibliographic Databases ◽  
Health Technologies

Background: Comprehensive health technology assessments (HTAs) include thorough reflections on ethical issues associated with health technologies, their use, and value-based decisions in the assessment process. As methods of information retrieval for effectiveness assessments are not applicable to information retrieval on ethical issues, a specific methodological approach is necessary.Objectives: In the absence of existing adapted methods, our objective was to develop a methodological approach for the systematic retrieval of information on ethical issues related to health technologies.Method and Results: A literature search was conducted to verify the non-existence of published comprehensive methodological approaches for the information retrieval on ethical issues for HTAs, and resulted in no hits. We, therefore, developed a step-by-step workflow following the workflow of information retrieval for effectiveness assessments: Step 1: Translation of the search question using the PICO scheme and additional components. Step 2: Concept building by modeling and linking search components. Step 3: Identification of synonyms in all relevant languages. Step 4: Selection of relevant information sources. Step 5: Design of search strategies for bibliographic databases. Step 6: Execution of search strategies and information seeking, including hand-searching. Step 7: Saving of retrieval results and standardized reporting of the process and results. Step 8: Final quality check and calculation of precision and recall.Conclusions: Systematic searching for information on ethical issues related to health technologies can be performed following the common retrieval workflow for effectiveness assessments, but should be performed separately applying adapted procedures and search terms on ethical issues relevant to the research question.

Time-Life, World Reporter and the secretary: experiments with end-users

1986 ◽  
Vol 12 (4) ◽  
pp. 167-175 ◽  
Author(s):  
David Nicholas ◽  
Kevin Harris ◽  
Gertrud Erbach
Keyword(s):  
Information Retrieval ◽  
Information Seeking ◽  
Information Source ◽  
End Users ◽  
End User ◽  
Training Time ◽  
Wide Scale ◽  
Time To Learn ◽  
Information Retrieval Methods ◽  
Near Future

After six months of training Time-Life book researchers to use online databases it is clear that they will not become end-users overnight—despite plentiful training, good facilities, user-friendly interfaces and the like. The reasons for this are less clear but high on the list come: a lack of time (to learn and maintain the necessary searching skills); a general reluctance to abandon the tried and tested—and often pleasurable—con ventional information retrieval methods (there is certainly nothing to suggest that the computer is going to replace the telephone as an information source); and the low priority given to the (formal) information-seeking component of the job (high priority being given to the more visible and pressing elements, like writing and commissioning pictures). There is little in Time-Life's online experience to lend support to the belief that there will be wide-scale end-user searching in the near future. Online will find its place in the array of information retrieval methods at the disposal of the user and will undoubtedly be used where manual methods have failed: it is unlikely, however, to supplant manual systems that work well and are well-liked. Secretaries do appear to be well-qualified, and in an excel lent position to become a major end-user group and might indeed pose a threat to the librarian intermediary in the near future.

scholarly journals Exploring the context of visual information seeking

2018 ◽  
Vol 36 (3) ◽  
pp. 445-456 ◽  
Author(s):  
Shahram Sedghi ◽  
Zeinab Shormeij ◽  
Iman Tahamtan
Keyword(s):  
Information Retrieval ◽  
Visual Search ◽  
Information Seeking ◽  
Visual Information ◽  
Contextual Factors ◽  
Task Type ◽  
Content Type ◽  
Retrieval Systems ◽  
Factors Influencing ◽  
Information Retrieval Systems

Purpose Information seeking is an interactive behaviour of the end users with information systems, which occurs in a real environment known as context. Context affects information-seeking behaviour in many different ways. The purpose of this paper is to investigate the factors that potentially constitute the context of visual information seeking. Design/methodology/approach The authors used a Straussian version of grounded theory, a qualitative approach, to conduct the study. Using a purposive sampling method, 28 subjects participated in the study. The data were analysed using open, axial and selective coding in MAXQDA software. Findings The contextual factors influencing visual information seeking were classified into seven categories, including: “user characteristics”, “general search features”, “visual search features”, “display of results”, “accessibility of results”, “task type” and “environmental factors”. Practical/implications This study contributes to a better understanding of how people conduct searches in and interact with visual search interfaces. Results have important implications for the designers of information retrieval systems. Originality/value This paper is among the pioneer studies investigating contextual factors influencing information seeking in visual information retrieval systems.

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