Title :
A recommendation system for a web portal
Author :
Jingsha He ; Jianghao Du ; Yixuan Zhang ; Shiyi Zhou
Author_Institution :
Sch. of Software Eng., Beijing Univ. of Technol., Beijing, China
Abstract :
The current Web manifests the problem of information overload due to the success of the Web 2.0 paradigm in which users can provide new contents quickly. To help users find the most valuable information, a recommendation system is designed in which we use Euclidean formula to calculate the distance and Cosine formula to calculate the angle to distinguish between different kinds of users. Thus, similar users will receive related items. In the beginning, we will face some problems such as the cold start due to a small amount of data. We will advance some theories to solve the problem. With the proposed method, we can improve the quality of recommendation so that users can find the most valuable information.
Keywords :
Internet; portals; recommender systems; Cosine formula; Euclidean formula; Web 2.0 paradigm; Web portal; recommendation system; Collaboration; Educational institutions; Euclidean distance; Information filtering; Portals; Vectors; Cosine; Euclidean; Recommendation; information;
Conference_Titel :
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-2033-4
DOI :
10.1109/PIC.2014.6972298
