ISSN: 2349-5162

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Published in:

Volume 1 Issue 5
October-2014
eISSN: 2349-5162

Unique Identifier

JETIR1405018

Page Number

340-346

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Title

Collaborative Web Search Using Likewise Users’ Recommendations

ISSN

2349-5162

Cite This Article

"Collaborative Web Search Using Likewise Users’ Recommendations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 5, page no.340-346, October-2014, Available :http://www.jetir.org/papers/JETIR1405018.pdf

Authors

Abstract

Many tasks in both professional and casual settings can benefit from the ability to jointly search the Web with others. The intuition was that such situations might be commonplace. Most users seek the help of their friends or knowledge domain experts to find the relevant information from the web. Web search thus mostly become a group activity rather than a solo one. Collaborative Web search exploits repetition and regularity within the query-space of a community of like-minded individuals in order to improve the quality of search results. In short, search results that have been judged to be relevant for past queries are promoted in response to similar queries that occur in the future. Collaborative Web search improves search quality by users’ working in cooperation and is a subset of social search. Current Web browsers and search engines provide limited support for it. However, it is easier for experts, who are familiar with some topics, to fulfill they needs through search engines due to their backgrounds, domain knowledge and so on. A sharing experts’ experiences approach should be struck based on today’s Web browsers and major search engines. The experiences are shared among users by developing a Web browser toolbar for collaborative Web search. The toolbar can catch search histories and favorites and display recommendations for every user in a popular Web browser through integrating with mainstream search engines. These collected users data are uploaded to a recommendation server, in which recommendations are built according to some rules. The toolbar can download some valuable recommendations merging into default search list for prompting a searcher. The key advantage of collaborative web search is the information gain with the fulfillment of user attributes, along with the acceptance of user community and with the saving of time that might be spent in the irrelevant documents.

Key Words

Collaborative Web search, shared Web search experiences, user profile, personalization.

Cite This Article

"Collaborative Web Search Using Likewise Users’ Recommendations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 5, page no. pp340-346, October-2014, Available at : http://www.jetir.org/papers/JETIR1405018.pdf

Publication Details

Published Paper ID: JETIR1405018
Registration ID: 140232
Published In: Volume 1 | Issue 5 | Year October-2014
DOI (Digital Object Identifier):
Page No: 340-346
ISSN Number: 2349-5162

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Cite This Article

"Collaborative Web Search Using Likewise Users’ Recommendations", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 5, page no. pp340-346, October-2014, Available at : http://www.jetir.org/papers/JETIR1405018.pdf




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