JOURNAL ARTICLE

Search result clustering studies in Turkish

Abstract

Contents of the internet is rapidly growing day by day. To reach the information we search on the internet, we're using internet search engines, which can return millions of search results depends on the query. Finding the information needed on the search results can be a massive problem. Search result clustering is a useful operation to solve this problem. One of the most popular search result clustering algorithm is Suffix Tree Clustering can achieve successful results. In this work, we try to improve Suffix Tree Clustering to get more successful results on clustering Turkish web search results.

Keywords:
Cluster analysis Computer science The Internet Data mining Search engine Suffix Information retrieval Turkish Machine learning World Wide Web

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Topics

Web Data Mining and Analysis
Physical Sciences →  Computer Science →  Information Systems
Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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