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Title:
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HELPING PEOPLE SEARCHING THE WEB: TOWARDS AN ADAPTIVE AND A SOCIAL SYSTEM |
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Author(s):
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Max Chevalier , Claude Chrisment , Christine Julien |
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ISBN:
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972-99353-0-0 |
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Editors:
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Pedro Isaías and Nitya Karmakar |
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Year:
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2004 |
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Edition:
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1 |
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Keywords:
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User Modeling, Information Sharing, Adaptive Search Assistant, Information Retrieval, Visual Information Retrieval Interface. |
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Type:
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Full Paper |
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First Page:
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405 |
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Last Page:
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412 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Searching information on the Web requires patience and perseverance. A user who is looking for some information should be lucky or experimented
The traditional way to search relevant information on the Web is to use a search engine. A search engine answers a users query which represents his information needs with (relevant) documents. But a Web information seeking process is not only a retrieval task. It also includes a browsing task, which is, not really taken into account today. Furthermore, search tools cannot ignore the users skills/knowledge because the query and so the search results directly depend on it. However, the Web, a representative example of the communication era, is not really a collaborative medium. Indeed, most of the Web users are individualists and do not share any information with others. Due to these limitations, a state of the art of user-oriented systems which try to facilitate the search task is done. This state of the art is also taking into account collective approaches that can be implemented to share information among users having the same point of interest. In this context, the proposed approach is user-oriented and is based on an information share through which a person automatically gets information from others thanks to his information needs. It is aimed at helping the user while he is searching the Web. This approach has been implemented in a system called Easy-DOR. |
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