scholarly journals Extended model for Privacy Enhanced Personalized Web Search Ranking System

2019 ◽  
Vol 8 (10) ◽  
pp. 3271-3275
Keyword(s):  
Search Engine ◽  
User Satisfaction ◽  
Web Search ◽  
Web Pages ◽  
Extended Model ◽  
Privacy Concern ◽  
Web Environment ◽  
Web Search Engine ◽  
Proposed Model ◽  
User Friendly

Our existing society is totally dependent on web search to fulfill our daily requirements. Therefore millions of web pages are accessed every day. To fulfill user need number of websites and webpages are added .The growing size of web data results to the difficulty in attaining useful information with a minimum clicks. This results to the acquisition of personalization a major place in Web search. But the use of personalization breaches privacy in searching. Personalization with privacy is leading issue in current web environment. This paper aims at user satisfaction by using user identification based personalization approach in web search engine. Beside personalization the proposed model creates privacy during personalization. The proposed system will prove to be user friendly with less efforts and privacy concern.

Based on DNS of a Layered Web Search Engine Study

2014 ◽  
Vol 971-973 ◽  
pp. 1870-1873
Author(s):  
Xiao Gang Dong
Keyword(s):  
Search Engine ◽  
Web Search ◽  
Web Pages ◽  
Distributed Architecture ◽  
Search System ◽  
Web Search Engine ◽  
Original Idea ◽  
Commercial Search Engine ◽  
New System ◽  
The Web

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.

scholarly journals QoS Based Ranking For Web Search

2021 ◽  
Author(s):  
Xiangyi Chen
Keyword(s):  
Quality Of Service ◽  
Search Engine ◽  
Web Search ◽  
Web Pages ◽  
Ranking Algorithm ◽  
Internet Connection ◽  
Web Search Engine ◽  
The One ◽  
The Web

Text, link and usage information are the most commonly used sources in the ranking algorithm of a web search engine. In this thesis, we argue that the quality of the web pages such as the performance of the page delivery (e.g. reliability and response time) should also play an important role in ranking, especially for users with a slow Internet connection or mobile users. Based on this principle, if two pages have the same level of relevancy to a query, the one with a higher delivery quality (e.g. faster response) should be ranked higher. We define several important attributes for the Quality of Service (QoS) and explain how we rank the web pages based on these algorithms. In addition, while combining those QoS attributes, we have tested and compared different aggregation algorithms. The experiment results show that our proposed algorithms can promote the pages with a higher delivery quality to higher positions in the result list, which is beneficial to users to improve their overall experiences of using the search engine and QoS based re-ranking algorithm always gets the best performance.

scholarly journals Effective Search Engine Spam Classification

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1541-1545
Keyword(s):  
Decision Tree ◽  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
Web Pages ◽  
Classification Methods ◽  
Search Results ◽  
Web Search Engine ◽  
Engine Industry

Search engine spam is formed by the spam creators for commercial gain. Spammers applied different strategies in web pages to display the first page of web search results. These strategies may avoid displaying good quality web pages in the top of search engine results page. Nowadays there are numerous devised algorithms available to identify search engine spam. Even though search engines are still affected by search engine spam. There is a necessity for search engine industry to filter search engine spam in the best way. The proposed study identifies spam in web search engine. Spammers try to use most popular search keywords, popular links and advertising keywords in web pages. This strategy helps to increase ranking to display the top of search results. The proposed method is used important features to detect spam pages which are classified using decision tree C4.5 classifier. This method produces better performance when compared with existing classification methods.

scholarly journals QoS Based Ranking For Web Search

2021 ◽  
Author(s):  
Xiangyi Chen
Keyword(s):  
Quality Of Service ◽  
Search Engine ◽  
Web Search ◽  
Web Pages ◽  
Ranking Algorithm ◽  
Internet Connection ◽  
Web Search Engine ◽  
The One ◽  
The Web

Text, link and usage information are the most commonly used sources in the ranking algorithm of a web search engine. In this thesis, we argue that the quality of the web pages such as the performance of the page delivery (e.g. reliability and response time) should also play an important role in ranking, especially for users with a slow Internet connection or mobile users. Based on this principle, if two pages have the same level of relevancy to a query, the one with a higher delivery quality (e.g. faster response) should be ranked higher. We define several important attributes for the Quality of Service (QoS) and explain how we rank the web pages based on these algorithms. In addition, while combining those QoS attributes, we have tested and compared different aggregation algorithms. The experiment results show that our proposed algorithms can promote the pages with a higher delivery quality to higher positions in the result list, which is beneficial to users to improve their overall experiences of using the search engine and QoS based re-ranking algorithm always gets the best performance.

scholarly journals STRUCTURAL WEB SEARCH ENGINE

2004 ◽  
Vol 13 (01) ◽  
pp. 27-44 ◽  
Author(s):  
ARASH RAKHSHAN ◽  
LAWRENCE B. HOLDER ◽  
DIANE J. COOK
Keyword(s):  
Search Engine ◽  
Web Search ◽  
Keyword Search ◽  
Information Access ◽  
Web Pages ◽  
Web Page ◽  
New Approach ◽  
Web Search Engine ◽  
New Challenges ◽  
The Web

We present a new approach in web search engines. The web creates new challenges for information retrieval. The vast improvement in information access is not the only advantage resulting from the keyword search. Additionally, much potential exists for analyzing interests and relationships within the structure of the web. The creation of a hyperlink by the author of a web page explicitly represents a relationship between the source and destination pages which demonstrates the hyperlink structure between web pages. Our web search engine searches not only for the keywords in the web pages, but also for the hyperlink structure between them. Comparing the results of structural web search versus keyword-based search indicates an improved ability to access desired information. We also discuss steps toward mining the queries input to the structural web search engine.

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