Journal article
Characteristics of character usage in Chinese Web searching
Information processing & management, v 45(1)
2009
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The use of non-English Web search engines has been prevalent. Given the popularity of Chinese Web searching and the unique characteristics of Chinese language, it is imperative to conduct studies with focuses on the analysis of Chinese Web search queries. In this paper, we report our research on the character usage of Chinese search logs from a Web search engine in Hong Kong. By examining the distribution of search query terms, we found that users tended to use more diversified terms and that the usage of characters in search queries was quite different from the character usage of general online information in Chinese. After studying the Zipf distribution of
n-grams with different values of
n, we found that the curve of unigram is the most curved one of all while the bigram curve follows the Zipf distribution best, and that the curves of
n-grams with larger
n (
n
=
3–6) had similar structures with
β-values in the range of 0.66–0.86. The distribution of combined
n-grams was also studied. All the analyses are performed on the data both before and after the removal of function terms and incomplete terms and similar findings are revealed. We believe the findings from this study have provided some insights into further research in non-English Web searching and will assist in the design of more effective Chinese Web search engines.
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Details
- Title
- Characteristics of character usage in Chinese Web searching
- Creators
- Michael Chau - University of Hong KongYan Lu - University of Hong KongXiao Fang - University of ToledoChristopher C. Yang - Drexel University
- Publication Details
- Information processing & management, v 45(1)
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000264937000009
- Scopus ID
- 2-s2.0-55949105178
- Other Identifier
- 991019168966904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Information Science & Library Science