Name
Abstract | ||
|---|---|---|
The development of the present web systems is becoming a complex activity due to the need to integrate the last technologies in order to make more efficient and competitive applications. Endowing systems with personalized recommendation procedures contributes to achieve these objectives. In this paper, a web mining method for personalization is proposed. It uses the information already available from other users to discover patterns that are used later for making recommendations. The work deals with the problem of introducing new information items and new users who do not have a profile. We propose an architectural design of intelligent data mining agents for the system implementation. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-27834-4_68 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
web mining | Recommender system,Data mining,Intelligent agent,World Wide Web,Web mining,Computer science,Implementation,Information extraction,Systems architecture,The Internet,Personalization | Conference |
Volume | ISSN | Citations |
3140 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 11 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| María N. Moreno García | 1 | 148 | 26.06 |
| Francisco José García Peñalvo | 2 | 728 | 125.65 |
| María José Polo Martín | 3 | 13 | 4.05 |
| MN Moreno | 4 | 6 | 0.83 |
| FJ Garcia | 5 | 7 | 1.20 |
| MJ Polo | 6 | 6 | 0.83 |