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

fYear

2014

fDate

16-18 May 2014

Firstpage

70

Lastpage

74

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Progress in Informatics and Computing (PIC), 2014 International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4799-2033-4

Type

conf

DOI

10.1109/PIC.2014.6972298

Filename

6972298