Simple BM25 extension to multiple weighted fields
Proceedings of the thirteenth ACM international conference on Information and knowledge management
A Simple Approach to Optimized Text Compression's Performance
NWESP '08 Proceedings of the 2008 4th International Conference on Next Generation Web Services Practices
A framework for BM25F-based XML retrieval
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Overview of the INEX 2009 ad hoc track
INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
University of waterloo at INEX 2009: ad hoc, book, entity ranking, and link-the-wiki tracks
INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
Field-weighted XML retrieval based on BM25
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
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This is the first year of Kasetsart University's participation in INEX. We participated in three tracks: the Ad Hoc, the Data Centric, and the Web Service Discovery tracks. In the Ad hoc and Data Centric tracks, the BM25F function has performed well in the past evaluations. However, there is an issue that needs more attention; what is the weight for each field? Previously, the weights are given manually to the fields. In general, many experts feel that uncontrolled selected fields. We proposed an unsupervised implementation of the BM25F scoring function, which we call the Double Scoring function. This scoring function assigns the weight for each field by an extended indexing scheme that handles the tuned weight parameter for each selected field. In the Web Service Discovery track, the standard tokens cannot be utilised directly by IR models, and need to be converted to natural language before indexing. We applied the Capitalization function to solve the tokenisation issue.