Name
Abstract | ||
|---|---|---|
A hybrid recommendation method is presented in this paper. Its main goal is to improve recommendation recall maintaining high recommendation precision and adaptive ability. The formal model is used to define the method and to analyze how the measures known from traditional Information Retrieval may be adapted to recommendation. The presented theorems show that the method is able to adapt to changing user's needs and achieve the maximal effectiveness if the component methods work properly. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73325-6_106 | IEA/AIE |
Keywords | Field | DocType |
high recommendation precision,recommendation recall,hybrid method,main goal,component method,maximal effectiveness,formal model,hybrid recommendation method,traditional information retrieval,adaptive ability,information retrieval | Recommender system,Information retrieval,Computer science,Recall,Recommendation model | Conference |
Volume | ISSN | Citations |
4570 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maciej Kiewra | 1 | 46 | 6.14 |
| Ngoc Thanh Nguyen | 2 | 1875 | 184.23 |