Title :
Planning of interactive information retrieval by means of reinforcement learning
Author :
Vitsentiy, Vitaliy ; Spink, Amanda ; Sachenko, Anatoly
Author_Institution :
Inst. of Comput. Inf. Technol., Ternopil Acad. of Nat. Economy
Abstract :
The theoretical base of a new approach to automation of interactive information retrieval on the basis of reinforcement learning methods is considered. Advantages and problem questions of the use of reinforcement learning for this task are analyzed and the peculiarities of the task are defined
Keywords :
human computer interaction; information retrieval; learning (artificial intelligence); information retrieval system; interactive information retrieval; reinforcement learning; Automation; Delay; Feedback; Information analysis; Information retrieval; Information technology; Learning; Neural networks; Paper technology; Pattern recognition;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003. Proceedings of the Second IEEE International Workshop on
Conference_Location :
Lviv
Print_ISBN :
0-7803-8138-6
DOI :
10.1109/IDAACS.2003.1249594
