Name
Abstract | ||
|---|---|---|
User modelling is fast becoming a major topic for commercial and academic research. A major problem in user modelling is in categorising a new user into known user classes. We consider user classification as a recognition problem where a new user is an uncertain object of undetermined class and we must determine the membership of the object in each of a number of prototypical user classes. The temporal nature of user behaviour suggests a belief updating approach to user recognition. We examine the FILUM approach to user recognition and present a more generalised model. We compare the generalised FILUM model to a new interval support version of Hogarth and Einhorn's (1992) anchor and adjustment belief updating approach. We present an example using the iterated prisoner's dilemma problem implemented in the Fril++ object oriented uncertain logic programming language. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/FUZZ.2001.1009061 | Fuzzy Systems, 2001. The 10th IEEE International Conference |
Keywords | Field | DocType |
belief maintenance,logic programming,object-oriented methods,uncertainty handling,user modelling,FILUM approach,Fril++ object oriented uncertain logic programming language,belief updating approach,iterated prisoner dilemma problem,temporal behaviour,uncertain object,uncertain object oriented user modelling,user classification,user recognition | Belief maintenance,Method,Object-oriented programming,Computer science,User modeling,Artificial intelligence,Dilemma,Logic programming,Fril,Iterated function,Machine learning | Conference |
Volume | Citations | PageRank |
2 | 4 | 0.51 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J.M. Rossiter | 1 | 24 | 2.97 |
| T.H. Cao | 2 | 20 | 2.34 |
| Trevor P. Martin | 3 | 134 | 26.98 |
| James F. Baldwin | 4 | 4 | 0.51 |