Concepts and effectiveness of the cover-coefficient-based clustering methodology for text databases
ACM Transactions on Database Systems (TODS)
Viewing morphology as an inference process
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
How reliable are the results of large-scale information retrieval experiments?
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Experimentation as a way of life: Okapi at TREC
Information Processing and Management: an International Journal - The sixth text REtrieval conference (TREC-6)
How Effective is Stemming and Decompounding for German Text Retrieval?
Information Retrieval
Retrieval evaluation with incomplete information
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Efficiency and effectiveness of query processing in cluster-based retrieval
Information Systems
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Information retrieval system evaluation: effort, sensitivity, and reliability
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Light stemming approaches for the French, Portuguese, German and Hungarian languages
Proceedings of the 2006 ACM symposium on Applied computing
Context sensitive stemming for web search
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Large-scale cluster-based retrieval experiments on Turkish texts
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Searching strategies for the Bulgarian language
Information Retrieval
Searching strategies for the Hungarian language
Information Processing and Management: an International Journal
Information retrieval on Turkish texts
Journal of the American Society for Information Science and Technology
A document classification and retrieval system for R&D in semiconductor industry - A hybrid approach
Expert Systems with Applications: An International Journal
Clustering of document collection - A weighting approach
Expert Systems with Applications: An International Journal
Refining search results using a mining framework
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
This study proposes a fuzzy ranking approach, designed for Turkish as an agglutinative language, that focuses on improving stemming techniques via using distances of characters in its search algorithm. Various studies focused on search engines are based on using stemming techniques in indexing process because of the higher percentage of relevancy that these techniques provide. However, stemming techniques may have negative effects on search results in some queries. While analyzing the search results to find the query terms those give irrelevant results and why, we observe that user's query suffixes are crucial in search performance. Therefore, the proposed fuzzy ranking approach supports traditional stemming approaches with the use of suffixes. The search results of this approach are significantly better than stemming techniques in where stemming technique is ineffective. In terms of overall results, the fuzzy ranking approach also gives satisfactory results when compared with stemming techniques such as a Turkish stemmer (19.43% of improvement) and word truncation technique (12.61% of improvement). Moreover, it is statistically better than no stemming with 28.61% of improvement.