Add to ORKGthesis or use of any of the information contained in it must acknowledge this thesis as the source of the quotation or information. Personal recommendation systems nowadays are very important in web applications because of the available huge volume of information on the World Wide Web, and the necessity to save users ’ time, and provide appropriate desired information, knowledge, items, etc. The most popular recommendation systems are collaborative filtering systems, which suffer from certain problems such as cold-start, privacy, user identification, and scalability. In this thesis, we suggest a new method to solve the cold start problem taking into consideration the privacy issue. The method is shown to perform very well in comparison with...
As the amount of the accessible information in the Internet is overwhelming, personalized content re...
There is a substantial increase in demand for recommender systems which have applications in a varie...
With the explosion of Web 2.0 application such as blogs, social and professional networks, and vario...
Personal recommendation systems nowadays are very important in web applications because of the avai...
In this paper we propose a recommender system that helps users to navigate though the Web by providi...
In this modern era of technology and information, e-learning has become an integral part of learning...
E-learning has become very famous in recent years. This is the modern era of internet and technology...
Cold start recommendations are important because they help build user loyalty, which is the key to t...
Recommender systems [1] provide meaningful and useful recommendations to users by making use of expl...
A recommender system (RS) aims to provide personalized recommendations to users for specific items (...
Recommender Systems are ubiquitous on the web. They are used to recommend users with movies to watch...
The development of recommendation system comes with the research of data sparsity, cold start, scala...
Recommender systems are used to help users discover the items they might be interested in, especiall...
With the explosion of Web 2.0 application such as blogs, social and professional networks, and vario...
With the explosion of service based web application like online news, shopping, bidding, libraries g...
As the amount of the accessible information in the Internet is overwhelming, personalized content re...
There is a substantial increase in demand for recommender systems which have applications in a varie...
With the explosion of Web 2.0 application such as blogs, social and professional networks, and vario...
Personal recommendation systems nowadays are very important in web applications because of the avai...
In this paper we propose a recommender system that helps users to navigate though the Web by providi...
In this modern era of technology and information, e-learning has become an integral part of learning...
E-learning has become very famous in recent years. This is the modern era of internet and technology...
Cold start recommendations are important because they help build user loyalty, which is the key to t...
Recommender systems [1] provide meaningful and useful recommendations to users by making use of expl...
A recommender system (RS) aims to provide personalized recommendations to users for specific items (...
Recommender Systems are ubiquitous on the web. They are used to recommend users with movies to watch...
The development of recommendation system comes with the research of data sparsity, cold start, scala...
Recommender systems are used to help users discover the items they might be interested in, especiall...
With the explosion of Web 2.0 application such as blogs, social and professional networks, and vario...
With the explosion of service based web application like online news, shopping, bidding, libraries g...
As the amount of the accessible information in the Internet is overwhelming, personalized content re...
There is a substantial increase in demand for recommender systems which have applications in a varie...
With the explosion of Web 2.0 application such as blogs, social and professional networks, and vario...