We present an intelligent agent designed to compile a daily news program for individual users. Based on feedback from the user, the system automatically adapts to the user’s preferences and interests. In this paper we focus on the system's user modeling component. First, we motivate the use of a multi-strategy machine learning approach that allows for the induction of user models that consist o...

Most of the web search engines are designed to serve all users, independent of the needs of any individual user. Personalization of web search is to carry out retrieval for each user incorporating individual user’s interests. Current personalization techniques use the hierarchy of hyperlinks or map a user query to a set of categories etc. But, they do not use both the contents of a web page and...

According to experts, the inefficient agricultural sector has a dominant role in degrading water resources all over the world. Farmers’ conservational behavior is an important aspect of new integrated water management studies. Relevantly, various behavioral theories have been proposed in the field of environmental psychology. The main objective of the present comparative analysis and review stu...

User information is needed by adaptive systems in order to tailor information and product offers to the needs and preferences of individual users. Personalized Recommender Systems are adaptive systems that automatically generate recommendations on the basis of individual user profiles. Most existing Recommender Systems, however, are based on rather simple and mainly standardized profile informa...