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Dixit, Ashutosh
- A Novel Architecture of Perception Oriented Web Search Engine Based on Decision Theory
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Authors
Affiliations
1 Shobhit University, Meerut, IN
2 YMCA University of Science and Technology, Faridabad, IN
3 BSAITM, Faridabad, IN
1 Shobhit University, Meerut, IN
2 YMCA University of Science and Technology, Faridabad, IN
3 BSAITM, Faridabad, IN
Source
Indian Journal of Science and Technology, Vol 8, No 7 (2015), Pagination: 635-641Abstract
The number of active web pages increases exponentially. According to the survey, the web has 14.3 trillion active web pages. The problem faced by present search engines is difficulty in returning relevant information. The current search engines do not perform semantic search and are not capable to return results based on user's perception. In this paper a perception based search engine is proposed that returns results as per the user point of view. To achieve semantic searching, a knowledge base is constructed which stores knowledge in the form of predicates. To extract knowledge from knowledge base, decision theory is used that does not restrict to any specific domain.Keywords
Decision Theory, Knowledge Base, Mental Vision, Perception, Semantic.Full Text
- An Efficient User Preference and Page Relevance based Page Ranking Algorithm
Abstract Views :181 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Engineering, YMCA University of Science and Technology, Faridabad - 121006, Haryana, IN
2 Department of Computer Engineering, BSAITM, Faridabad – 121004, Haryana, IN
1 Department of Computer Engineering, YMCA University of Science and Technology, Faridabad - 121006, Haryana, IN
2 Department of Computer Engineering, BSAITM, Faridabad – 121004, Haryana, IN
Source
Indian Journal of Science and Technology, Vol 10, No 37 (2017), Pagination:Abstract
Background/Objectives: Provide better search results and improve overall search experience of the users while searching information over the Internet. Most of the commonly used search engines today utilize link structure based page ranking for ordering of web pages and give no consideration to web page’s relevance and user-feedback etc. and suffer from topic-drift problem. As a result users seldom find accurate, precise and desired information on first page of the result-set. The users have to scan through the large result-set refining it manually which adversely affects the overall search experience of the user. Therefore there is a need to provide better ranking solutions. Methods/ Statistical Analysis: The methodology used for ranking a web page in the proposed algorithm includes ranking based on web page characteristics, user explicit feedback and preferences. The algorithm computes page rank of a web page based on number of times of occurrence of user specified Keyword on the web page, web page’s priority, its rating and popularity as specified by user feedback The algorithms also attempts to match user preferences in terms of domain and type of information of the web page user are interested in for page ranking. Findings: The proposed algorithm promises to provide best web pages in conjunction with user needs and interest, thereby improving the overall quality of the search results and user satisfaction. Application: The proposed algorithm can be used in Search Engines to provide better user specific results.Keywords
Information Retrieval, Page Ranking, Search Engine, User-feedback, User-Preferences, User-satisfactionFull Text