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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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Book
12 Jun 1992
TL;DR: For programmers and students interested in parsing text, automated indexing, its the first collection in book form of the basic data structures and algorithms that are critical to the storage and retrieval of documents.
Abstract: An edited volume containing data structures and algorithms for information retrieved including a disk with examples written in C. For programmers and students interested in parsing text, automated indexing, its the first collection in book form of the basic data structures and algorithms that are critical to the storage and retrieval of documents.

2,359 citations

Journal ArticleDOI
TL;DR: The survey includes 100+ papers covering the research aspects of image feature representation and extraction, multidimensional indexing, and system design, three of the fundamental bases of content-based image retrieval.

2,197 citations

Journal ArticleDOI
Andrei Z. Broder1
01 Sep 2002
TL;DR: This taxonomy of web searches is explored and how global search engines evolved to deal with web-specific needs is discussed.
Abstract: Classic IR (information retrieval) is inherently predicated on users searching for information, the so-called "information need". But the need behind a web search is often not informational -- it might be navigational (give me the url of the site I want to reach) or transactional (show me sites where I can perform a certain transaction, e.g. shop, download a file, or find a map). We explore this taxonomy of web searches and discuss how global search engines evolved to deal with web-specific needs.

2,094 citations

Journal ArticleDOI
TL;DR: This survey reviews 100+ recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques.
Abstract: Extending beyond the boundaries of science, art, and culture, content-based multimedia information retrieval provides new paradigms and methods for searching through the myriad variety of media all over the world. This survey reviews 100p recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques. Based on the current state of the art, we discuss the major challenges for the future.

1,652 citations

BookDOI
01 Jan 1983
TL;DR: The research and development in information retrieval is universally compatible with any devices to read, and can be downloaded instantly from the authors' digital library.
Abstract: research and development in information retrieval is available in our digital library an online access to it is set as public so you can get it instantly. Our books collection spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the research and development in information retrieval is universally compatible with any devices to read.

1,298 citations


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