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An adaptable search engine for multimodal information retrieval

Journal of the American Society for Information Science and Technology, 2009
AbstractThis article describes an information retrieval approach according to the two different search modes that exist: browsing an ontology (via categories) or defining a query in free language (via keywords). Various proposals offer approaches adapted to one of these two modes.
Gilles Hubert 0001, Josiane Mothe
openaire   +1 more source

Cross-Lingual Information Retrieve in Sogou Search

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
In recent years, more and more Chinese people desires to be able to access the large amount of foreign language information and understand what is happening all over the world. However, language barrier is always a problem to them. In order to break the language barrier and connect Chinese people to the foreign language information in the world, Sogou ...
Jingfang Xu, Feifei Zhai, Zhengshan Xue
openaire   +1 more source

Information Retrieval Techniques for Collaborative Text Searches

2009 Ninth IEEE International Conference on Advanced Learning Technologies, 2009
Significant amount of text-based knowledge is created in collaborative web-based environments in the context of education. In order to efficiently utilize all this information, there is a need to provide the users with an easy access to the information they are interested in.
Jussi A. Nuutinen, Erkki Sutinen
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A distributed search engine for fresh information retrieval

12th International Workshop on Database and Expert Systems Applications, 2002
In information retrieval of web pages, we usually use search engines. A conventional search engine has the problem that the update interval is very long because it is based on centralized architecture, which collects documents by using robots. So, we have developed a distributed search engine, cooperative search engine (CSE) in order to reduce the ...
Nobuyoshi Sato   +3 more
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Information Retrieval Strategies File-Search Environment

Human Factors: The Journal of the Human Factors and Ergonomics Society, 1984
The investigation represents an exploration of search strategies in an information-retrieval task. The task environment consisted of five search procedures: scrolling, paging, string search, absolute line movement, and relative line movement. Independent variables included user, task, and editor characteristics.
J, Elkerton, R C, Williges
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Level search schemes for information filtering and retrieval

Information Processing & Management, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiaoyan Zhang   +2 more
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Search Engines and Web Information Retrieval

2005
This survey describes the main components of web information retrieval, with emphasis on the algorithmic aspects of web search engine research.
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ON‐LINE SEARCHING IN INFORMATION RETRIEVAL

Journal of Documentation, 1977
The possibility of having access to all the world's literature from a single computer terminal stimulated the imagination of the research workers in the late' sixties. It was this goal and the fascination of the co‐operation between man and machine, that inspired the major changes that have taken place in Information Retrieval over the past ten years.
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Information Retrieval and Web Search

2011
Web search needs no introduction. Due to its convenience and the richness of information on the Web, searching the Web is increasingly becoming the dominant information seeking method. People make fewer and fewer trips to libraries, but more and more searches on the Web. In fact, without effective search engines and rich Web contents, writing this book
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Web Search and Information Retrieval

2003
This chapter discusses how Web search engines work. Search engines have their roots in information retrieval (IR) systems that prepare a keyword index for the given corpus and respond to keyword queries with a ranked list of documents. The query language provided by most search engines lets one look for Web pages that contain (or do not contain ...
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