Challenges and recent trends in personalized Web search: A survey

Selvakumar, K.; Sendhilkumar, S.

doi:10.1109/icoac.2011.6165198

Cited by 3 publications

(2 citation statements)

References 21 publications

(2 reference statements)

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“…Yet automated discovery of targeted or unexpected information still faces some research challenges due to the complexity and lack ofweb datastructure. Table-IV summarizes different Web content-based search approaches [55].…”

Section: A Web Content Based Searchmentioning

confidence: 99%

Knowledge Discovery from Web Data for Web Personalization

2019

IJITEE

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Because of the large and rapid increase in web data size and number of users, web users now face the problems of overloading and drowning information. As a result, Recovery of internet-based data and web applications, providing web users with more accurate information becomes a critical issue. In this study, by analyzing web data features, we aim to improve the performance of web information retrieval and web presentation through web data mining processes that discover the knowledge (intrinsic relationships) between web data expressed as textual, linkage or usability information. We concentrate on discovering web usage patterns through web usage mining, and then using the discovered usage knowledge along with profile information to provide web users with more personalized web content. Personalization is an engaging service for website visitors, based on their characteristics and deliberate behaviors to facilitate conversion and long-term commitment expectations. The purpose of this work is to extract the knowledge from web data and use this knowledge to create a web personalization system that allows users to access the content of their need from the website without specifically specifying it. The knowledge could be the navigational actions of the user as exposed by web access log analysis, as well as the characteristics and preferences of the user reflected by user profiles. Such knowledge is further analyzed to improve system performance, retention of users and/or modification of the site. This paper provides a comprehensive survey of the different approaches suggested by Web Personalization researchers and list out some of the issues that need to be tackled soon

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Section: A Web Content Based Searchmentioning

confidence: 99%

Knowledge Discovery from Web Data for Web Personalization

2019

IJITEE

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“…The increasing growth of the resources on WWW, the non-heterogeneous subject information and the high volume of the resources, the diversity of the users and the informational needs of them are of the problems which make the IR more complex day by day on the web environment [1]. Although the specifications of web environment like non-continuousness and the lack of possibility of creating relation among different information are of the most elite advantages on the web environment, but it is possible for them to lead to some problems in IR.…”

Section: Introductionmentioning

confidence: 99%

Semantic Web: Information Retrieval from World Wide Web

Barbin¹,

Maleki²

2013

IJCI

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The large amount of information on web has led to impossible accurate search and integration of the information. One of the attractive procedures for facing the redundancy of information is the Semantic Web (SW). So, to structuring the information, improving the searches and presenting the meaning of the information, a technology is needed to create relationship between the existing information in the World Wide Web (WWW) and find the clear meaning among them. SW has meaningful relationship among information and is able to revolute the Information Retrieval (IR) method in web environment. SW is the development of the existing web by equipping it with the semantic cognitive elements and content mining, and then a combination of the continuous and accurate information will be produced. The SW creates a procedure by which information will be understandable for the machines. It is possible to suppose the SW as an effective way for presenting information in the web or as a global and universal link to the information database. In the web environment, there is need for a tool for integration of the information and techniques for processing the information because of the non-heterogeneous and non-concentrated information resources. Ontology is a suitable solution for fast and right access to the common information.SW uses the ontology via providing the conceptual and relational structure and makes possible the information be accessed by the users and be smartly retrieved. We in this paper to characteristics, advantages, architecture and problems of the SW and need implement it in the WWW.

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Concept Networks for Personalized Web Search Using Genetic Algorithm

Babu¹,

Samuel

2015

Procedia Computer Science

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Challenges and recent trends in personalized Web search: A survey

Cited by 3 publications

References 21 publications

Knowledge Discovery from Web Data for Web Personalization

Knowledge Discovery from Web Data for Web Personalization

Semantic Web: Information Retrieval from World Wide Web

Concept Networks for Personalized Web Search Using Genetic Algorithm

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