ANALYZING THE USEFULNESS OF THE USER’S BROWSER HISTORY FOR GENERATING QUERY SUGGESTIONS

A very useful feature of search engines that helps users while they browse the internet, where, they very often, try to satisfy an information need, is query suggestion. This mechanism shows the user a list of possible queries from where he can choose and be able to perform a search easier and faste...
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Autor*in:	Ioan BĂDĂRÎNZĂ [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	query suggestion, browsing history, personalized suggestions.

Übergeordnetes Werk:	In: Studia Universitatis Babes-Bolyai: Series Informatica - Babes-Bolyai University, Cluj-Napoca, 2009, 62(2017), 2
Übergeordnetes Werk:	volume:62 ; year:2017 ; number:2

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.24193/subbi.2017.2.05

Katalog-ID:	DOAJ094784175

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callnumber-first	Q - Science
author	Ioan BĂDĂRÎNZĂ
spellingShingle	Ioan BĂDĂRÎNZĂ misc QA75.5-76.95 misc query suggestion, browsing history, personalized suggestions. misc Electronic computers. Computer science ANALYZING THE USEFULNESS OF THE USER’S BROWSER HISTORY FOR GENERATING QUERY SUGGESTIONS
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topic_title	QA75.5-76.95 ANALYZING THE USEFULNESS OF THE USER’S BROWSER HISTORY FOR GENERATING QUERY SUGGESTIONS query suggestion, browsing history, personalized suggestions
topic	misc QA75.5-76.95 misc query suggestion, browsing history, personalized suggestions. misc Electronic computers. Computer science
topic_unstemmed	misc QA75.5-76.95 misc query suggestion, browsing history, personalized suggestions. misc Electronic computers. Computer science
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title	ANALYZING THE USEFULNESS OF THE USER’S BROWSER HISTORY FOR GENERATING QUERY SUGGESTIONS
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title_full	ANALYZING THE USEFULNESS OF THE USER’S BROWSER HISTORY FOR GENERATING QUERY SUGGESTIONS
author_sort	Ioan BĂDĂRÎNZĂ
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title_sort	analyzing the usefulness of the user’s browser history for generating query suggestions
callnumber	QA75.5-76.95
title_auth	ANALYZING THE USEFULNESS OF THE USER’S BROWSER HISTORY FOR GENERATING QUERY SUGGESTIONS
abstract	A very useful feature of search engines that helps users while they browse the internet, where, they very often, try to satisfy an information need, is query suggestion. This mechanism shows the user a list of possible queries from where he can choose and be able to perform a search easier and faster. In this paper we tried to assess the usefulness of a user’s recent web browsing history for generating new query suggestions. We performed a one month experiment in which we collected browsing history logs of several users and searched query terms submitted by those users to Google (using a Chrome plugin) and found that approximately 32% of the queries submitted can be predicted from the user’s browsing history.
abstractGer	A very useful feature of search engines that helps users while they browse the internet, where, they very often, try to satisfy an information need, is query suggestion. This mechanism shows the user a list of possible queries from where he can choose and be able to perform a search easier and faster. In this paper we tried to assess the usefulness of a user’s recent web browsing history for generating new query suggestions. We performed a one month experiment in which we collected browsing history logs of several users and searched query terms submitted by those users to Google (using a Chrome plugin) and found that approximately 32% of the queries submitted can be predicted from the user’s browsing history.
abstract_unstemmed	A very useful feature of search engines that helps users while they browse the internet, where, they very often, try to satisfy an information need, is query suggestion. This mechanism shows the user a list of possible queries from where he can choose and be able to perform a search easier and faster. In this paper we tried to assess the usefulness of a user’s recent web browsing history for generating new query suggestions. We performed a one month experiment in which we collected browsing history logs of several users and searched query terms submitted by those users to Google (using a Chrome plugin) and found that approximately 32% of the queries submitted can be predicted from the user’s browsing history.
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title_short	ANALYZING THE USEFULNESS OF THE USER’S BROWSER HISTORY FOR GENERATING QUERY SUGGESTIONS
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