Title :
A Dynamic Weight Assignment Approach for IR Systems
Author :
Shoaib, M. ; Shah, A. ; Vashishta, A.
Author_Institution :
Department of Computer Science & Engineering University of Engineering and Technology Lahore, Pakistan
Abstract :
Weights are assigned to the extracted keywords for partial matching and computing ranking in an IR system. Weight assignment technique is suggested by the IR model that is used for an IR system. Currently suggested weight assignment techniques are static which means that once weight is assigned a keyword it remains unchanged during life-span of an IR system. In this paper, we suggest a dynamic weight assignment technique. This technique can be used by any IR model that supports partial matching.
Keywords :
Dynamic weight assignment; information retrieval techniques; Computer science; Data mining; Indexing; Information retrieval; Logic; Natural language processing; Optical computing; Search engines; Software engineering; Dynamic weight assignment; information retrieval techniques;
Conference_Titel :
Information and Communication Technologies, 2005. ICICT 2005. First International Conference on
Print_ISBN :
0-7803-9421-6
DOI :
10.1109/ICICT.2005.1598599
