Implementation of Recommender System for Web pages
نویسندگان
چکیده
منابع مشابه
AWRT: A Recommender System for Improving Revisiting Web Pages
Web revisit has become one of the dominant phenomena in the web. Nevertheless, standard revisit features in typical web browsers currently do not significantly support this phenomenon. Various efforts, therefore, have been carried out to provide web users with approaches for facilitating web revisit. However, these approaches burden users with management tasks such as flagging and marking. This...
متن کاملIMPROVE THE RECOMMENDER SYSTEM USING SEMANTIC WEB
To buy his/her necessities such as books, movies, CD, music, etc., one always trusts others’ oral and written consultations and offers and include them in his/her decisions. Nowadays, regarding the progress of technologies and development of e-business in websites, a new age of digital life has been commenced with the Recommender systems. The most important objectives of these systems include a...
متن کاملmining users` navigation patterns for building web pages recommendation system
due to the quick growth of the world wide web, retrieval of useful informationfrom the internet for a particular web user or a group of users becomes verydifficult. recommendation systems using web usage mining help providing anadaptive web environment for the web users. this paper presents a novel approachfor page recommendation using fuzzy association rule mining algorithm. thismethod extract...
متن کاملTrust Based Recommender System for Semantic Web
This paper proposes the design of a recommender system that uses knowledge stored in the form of ontologies. The interactions amongst the peer agents for generating recommendations are based on the trust network that exists between them. Recommendations about a product given by peer agents are in the form of Intuitionistic Fuzzy Sets specified using degree of membership, non membership and unce...
متن کاملAnalyzing new features of infected web content in detection of malicious web pages
Recent improvements in web standards and technologies enable the attackers to hide and obfuscate infectious codes with new methods and thus escaping the security filters. In this paper, we study the application of machine learning techniques in detecting malicious web pages. In order to detect malicious web pages, we propose and analyze a novel set of features including HTML, JavaScript (jQuery...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2018
ISSN: 2227-524X
DOI: 10.14419/ijet.v7i4.5.20188