Dynamic Web Pages

2011 ◽  
Keyword(s):  
Web Pages ◽  
Dynamic Web

A DYNAMICS RECOMMENDATION SYSTEM BASED ON LOG MINING

2002 ◽  
Vol 13 (04) ◽  
pp. 521-530 ◽  
Author(s):  
WEN GAO ◽  
SHI WANG ◽  
BIN LIU
Keyword(s):  
Recommendation System ◽  
Predictive Accuracy ◽  
Web Pages ◽  
Web Log Mining ◽  
Web Page ◽  
Time Dynamic ◽  
Active User ◽  
Dynamic Web ◽  
Log Mining ◽  
A Current

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.

Dynamic Web Pages

2009 ◽  
pp. 954-954
Author(s):  
Maristella Matera
Keyword(s):  
Web Pages ◽  
Dynamic Web

Dynamic Web Pages

2018 ◽  
pp. 1255-1256
Author(s):  
Maristella Matera
Keyword(s):  
Web Pages ◽  
Dynamic Web

Identifying Users Stereotypes for Dynamic Web Pages Customization

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.

Identifying Users Stereotypes for Dynamic Web Pages Customization

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.

scholarly journals Designing a XSS Defensive Framework for Web Servers Deployed in the Existing Smart City Infrastructure

2020 ◽  
Vol 32 (4) ◽  
pp. 85-111
Author(s):  
Brij B. Gupta ◽  
Pooja Chaudhary ◽  
Shashank Gupta
Keyword(s):  
Smart City ◽  
Web Application ◽  
Web Applications ◽  
Web Pages ◽  
Web Servers ◽  
City Environment ◽  
Dynamic Web ◽  
Attack Mitigation ◽  
The Impact ◽  
The Internet Of Things

Cross-site scripting is one of the notable exceptions effecting almost every web application. Hence, this article proposed a framework to negate the impact of the XSS attack on web servers deployed in one of the major applications of the Internet of Things (IoT) i.e. the smart city environment. The proposed framework implements 2 approaches: first, it executes vulnerable flow tracking for filtering injected malicious scripting code in dynamic web pages. Second, it accomplished trusted remark generation and validation for unveiling any suspicious activity in static web pages. Finally, the filtered and modified webpage is interfaced to the user. The prototype of the framework has been evaluated on a suite of real-world web applications to detect XSS attack mitigation capability. The performance analysis of the framework has revealed that this framework recognizes the XSS worms with very low false positives, false negatives and acceptable performance overhead as compared to existent XSS defensive methodologies.

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