Abstract/Description
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, Optical computing, Search engines, Natural language processing, Logic, Data mining
Location
Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan
Session Theme
Software and Database Systems [SDBS]
Session Type
Other
Session Chair
Dr. Akhtar Kalam
Start Date
27-8-2005 4:00 PM
End Date
27-8-2005 4:20 PM
Recommended Citation
Shoaib, M., Shah, P. A., & Vashishta, A. (2005). A Dynamic Weight Assignment Approach for IR Systems. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2005/2005/26
A Dynamic Weight Assignment Approach for IR Systems
Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan
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.
