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Human–computer information retrieval

About: Human–computer information retrieval is a research topic. Over the lifetime, 6871 publications have been published within this topic receiving 195816 citations.


Papers
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Journal ArticleDOI
Mei Kobayashi1, Koichi Takeda1
TL;DR: Overall trends cited by the sources are consistent and point to exponential growth in the past and in the coming decade, and the development of new techniques targeted to resolve some of the problems associated with Web-based information retrieval are discussed.
Abstract: In this paper we review studies of the growth of the Internet and technologies that are useful for information search and retrieval on the Web. We present data on the Internet from several different sources, e.g., current as well as projected number of users, hosts, and Web sites. Although numerical figures vary, overall trends cited by the sources are consistent and point to exponential growth in the past and in the coming decade. Hence it is not surprising that about 85% of Internet users surveyed claim using search engines and search services to find specific information. The same surveys show, however, that users are not satisfied with the performance of the current generation of search engines; the slow retrieval speed, communication delays, and poor quality of retrieved results (e.g., noise and broken links) are commonly cited problems. We discuss the development of new techniques targeted to resolve some of the problems associated with Web-based information retrieval and speculate on future trends.

647 citations

Journal ArticleDOI
TL;DR: The advantages and shortcomings of the performance measures currently used in CBIR are discussed and proposals for a standard test suite similar to that used in IR at the annual Text REtrieval Conference (TREC), are presented.

598 citations

Book
28 Apr 2009
TL;DR: In this paper, the authors provide an overview and instruction regarding the evaluation of interactive information retrieval systems with users and present core instruments and data collection techniques and measures, as well as a discussion of outstanding challenges and future research directions.
Abstract: This paper provides overview and instruction regarding the evaluation of interactive information retrieval systems with users The primary goal of this article is to catalog and compile material related to this topic into a single source This article (1) provides historical background on the development of user-centered approaches to the evaluation of interactive information retrieval systems; (2) describes the major components of interactive information retrieval system evaluation; (3) describes different experimental designs and sampling strategies; (4) presents core instruments and data collection techniques and measures; (5) explains basic data analysis techniques; and (4) reviews and discusses previous studies This article also discusses validity and reliability issues with respect to both measures and methods, presents background information on research ethics and discusses some ethical issues which are specific to studies of interactive information retrieval (IIR) Finally, this article concludes with a discussion of outstanding challenges and future research directions

565 citations

Book
30 Sep 1998
TL;DR: This paper presents a meta-modelling architecture that automates the very labor-intensive and therefore time-heavy and expensive process of integrating structured data and text into a discrete-time system.
Abstract: List of Figures. Preface. 1. Introduction. 2. Retrieval Strategies. 3. Retrieval Utilities. 4. Efficiency Issues pertaining to Sequential IR Systems. 5. Integrating Structured Data and Text. 6. Parallel Information Retrieval Systems. 7. Distributed Information Retrieval. 8. The Text Retrieval Conference (TREC). 9. Future Directions. References.

561 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20235
202222
20201
20191
201814
2017117