Model for efficient delivery of dynamic web pages with automatic detection of shared fragments

This paper presents a new real-time, dynamic web page recommendation system based on web-log mining. The visit sequences of previous visitors are used to train a classifier for web page recommendation. The recommendation engine identifies a current active user, and submits its visit sequence as an input to the classifier. The output of the recommendation engine is a set of recommended web pages, whose links are attached to bottom of the requested page. Our experiments show that the proposed approach is effective: the predictive accuracy is quite high (over 90%), and the time for the recommendation is quite small.

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Dynamic Web Pages

Encyclopedia of Database Systems ◽

10.1007/978-0-387-39940-9_5017 ◽

2009 ◽

pp. 954-954

Author(s):

Maristella Matera

Keyword(s):

Web Pages ◽

Dynamic Web

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Dynamic Web Pages

Encyclopedia of Database Systems ◽

10.1007/978-1-4614-8265-9_5017 ◽

2018 ◽

pp. 1255-1256

Author(s):

Maristella Matera

Keyword(s):

Web Pages ◽

Dynamic Web

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Identifying Users Stereotypes for Dynamic Web Pages Customization

Handbook of Research on Web Log Analysis ◽

10.4018/978-1-59904-974-8.ch014 ◽

2010 ◽

pp. 284-306

Author(s):

Sandro José Rigo

Keyword(s):

Web Applications ◽

User Profile ◽

Semantic Knowledge ◽

Web Pages ◽

Adaptive Hypermedia ◽

Important Concern ◽

Adaptive Hypermedia Systems ◽

Dynamic Web ◽

Usage Patterns ◽

Access Patterns

Adaptive Hypermedia is an effective approach to automatic personalization that overcomes the difficulties and deficiencies of traditional Web systems in delivering the appropriate content to users. One important issue regarding Adaptive Hypermedia systems is the construction and maintenance of the user profile. Another important concern is the use of Semantic Web resources to describe Web applications and to implement adaptation mechanisms. Web Usage Mining, in this context, allows the generation of Websites access patterns. This chapter describes the possibilities of integration of these usage patterns with semantic knowledge obtained from domain ontologies. Thus, it is possible to identify users’ stereotypes for dynamic Web pages customization. This integration of semantic knowledge can provide personalization systems with better adaptation strategies.

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Identifying Users Stereotypes for Dynamic Web Pages Customization

Web Technologies ◽

10.4018/978-1-60566-982-3.ch075 ◽

2011 ◽

pp. 1388-1410

Author(s):

Sandro José Rigo ◽

José M. Palazzo de Oliveira ◽

Leandro Krug Wives

Keyword(s):

Web Applications ◽

User Profile ◽

Semantic Knowledge ◽

Web Pages ◽

Adaptive Hypermedia ◽

Important Concern ◽

Adaptive Hypermedia Systems ◽

Dynamic Web ◽

Usage Patterns ◽

Access Patterns

Adaptive Hypermedia is an effective approach to automatic personalization that overcomes the difficulties and deficiencies of traditional Web systems in delivering the appropriate content to users. One important issue regarding Adaptive Hypermedia systems is the construction and maintenance of the user profile. Another important concern is the use of Semantic Web resources to describe Web applications and to implement adaptation mechanisms. Web Usage Mining, in this context, allows the generation of Websites access patterns. This chapter describes the possibilities of integration of these usage patterns with semantic knowledge obtained from domain ontologies. Thus, it is possible to identify users’ stereotypes for dynamic Web pages customization. This integration of semantic knowledge can provide personalization systems with better adaptation strategies.

Download Full-text