Personalized Web Recommendation Combining User-centered Collaborative Technique with URL Weighting
نویسندگان
چکیده
منابع مشابه
Web Page Recommendation by URL-based Collaborative Filtering
Because the number of Web pages is very huge, and still increasing, many people have difficulty to reach pages they want. Although social bookmarking and search engines are helpful, users still have to find pages themselves. Our goal is to recommend Web pages which are supposed to be interesting for a user, without active effort by the user. We first analyzed the http traffic data in our univer...
متن کاملPersonalized Recommendation Combining User Interest and Social Circle
With the advent and popularity of social network, more and more users like to share their experiences, such as ratings, reviews, and blogs. The new factors of social network like interpersonal influence and interest based on circles of friends bring opportunities and challenges for recommender system (RS) to solve the cold start and sparsity problem of datasets. Some of the social factors have ...
متن کاملCollaborative Filtering Meets Mobile Recommendation: A User-Centered Approach
With the increasing popularity of location tracking services such as GPS, more and more mobile data are being accumulated. Based on such data, a potentially useful service is to make timely and targeted recommendations for users on places where they might be interested to go and activities that they are likely to conduct. For example, a user arriving in Beijing might wonder where to visit and w...
متن کاملQoS-based Web Service Recommendation using Popular-dependent Collaborative Filtering
Since, most of the organizations present their services electronically, the number of functionally-equivalent web services is increasing as well as the number of users that employ those web services. Consequently, plenty of information is generated by the users and the web services that lead to the users be in trouble in finding their appropriate web services. Therefore, it is required to provi...
متن کاملResearch on Personalized Recommendation Based on Web Usage Mining Using Collaborative Filtering Technique
Collaborative filtering is the most successful technology for building personalized recommendation system and is extensively used in many fields. This paper presents a system architecture of personalized recommendation using collaborative filtering based on web usage mining and describes detailedly data preparation process. To improve recommending quantity, a new personalized recommendaton mode...
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 Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/10437-5116