A Topic-Specific Web Search System Focusing on Quality Pages

Web search engine based on DNS, the standard proposed solution of IETF for public web search system, is introduced in this paper. Now no web search engine can cover more than 60 percent of all the pages on Internet. The update interval of most pages database is almost one month. This condition hasn't changed for many years. Converge and recency problems have become the bottleneck problem of current web search engine. To solve these problems, a new system, search engine based on DNS is proposed in this paper. This system adopts the hierarchical distributed architecture like DNS, which is different from any current commercial search engine. In theory, this system can cover all the web pages on Internet. Its update interval could even be one day. The original idea, detailed content and implementation of this system all are introduced in this paper.

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Collaborative search using an implicitly formed academic network

Aslib Journal of Information Management ◽

10.1108/ajim-12-2013-0142 ◽

2014 ◽

Vol 66 (5) ◽

pp. 537-552 ◽

Cited By ~ 1

Author(s):

Somu Renugadevi ◽

T.V. Geetha ◽

R.L. Gayathiri ◽

S. Prathyusha ◽

T. Kaviya

Keyword(s):

Design Methodology ◽

Web Search ◽

Community Formation ◽

Search System ◽

Search Behaviour ◽

Content Type ◽

Collaborative Search ◽

Research Findings ◽

Academic Network ◽

Dynamic Updating

Purpose – The purpose of this paper is to propose the Collaborative Search System that attempts to achieve collaboration by implicitly identifying and reflecting search behaviour of collaborators in an academic network that is automatically and dynamically formed. By using the constructed Collaborative Hit Matrix (CHM), results are obtained that are based on the search behaviour and earned preferences of specialist communities of researchers, which are relevant to the user's need and reduce the time spent on bad links. Design/methodology/approach – By using the Digital Bibliography Library Project (DBLP), the research communities are formed implicitly and dynamically based on the users’ research presence in the search environment and in the publication scenario, which is also used to assign users’ roles and establish links between the users. The CHM, to store the hit count and hit list of page results for queries, is also constructed and updated after every search session to enhance the collaborative search among the researchers. Findings – The implicit researchers community formation, the assignment and dynamic updating of roles of the researchers based on research, search presence and search behaviour on the web as well as the usage of these roles during Collaborative Web Search have highly improved the relevancy of results. The CHM that holds the collaborative responses provided by the researchers on the search query results to support searching distinguishes this system from others. Thus the proposed system considerably improves the relevancy and reduces the time spent on bad links, thus improving recall and precision. Originality/value – The research findings illustrate the better performance of the system, by connecting researchers working in the same field and allowing them to help each other in a web search environment.

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Privacy Proliferation of Customized Web Search Engine

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.32.15391 ◽

2018 ◽

Vol 7 (2.32) ◽

pp. 150

Author(s):

N Arunachalam ◽

S Radjou ◽

P Aravindan ◽

T Sivagurunathan

Keyword(s):

Search Engine ◽

Search Engines ◽

Information Disclosure ◽

Web Search ◽

User Privacy ◽

Search System ◽

Amount Of Information ◽

Web Search Engine ◽

Web Search Engines

In last few years the illegal disclosure of user privacy in web search engine has become more serious. Protecting and Pre-venting user privacy from illegal disclosure is attracting the interest among researchers in recent times. Existing web search engines do not consider the privacy of the users. Search engines tend to collect all the information from the user. A system to ensure the privacy of the user is essential. Hence, the Personalized Web Search (PWS) method was put forward to take control over the amount of information that the user can provide to the search engines. This PWS provides privacy protec-tion in web search system and minimize the information disclosure of the user related to privacy through a customizable web-search.

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