Abstract
Currently, the government proposes various public sports resource allocation strategies to promote the construction of public sports in the local. Thus, searching for the document database becomes an economic and efficient way for government officials to understand the contents of various public sports resource allocation strategies. As the government officials lack background knowledge of public sports resource allocation, the government officials are hard to retrieve appropriate documents. What's more, the document database is generally unwilling to share all text document information with the government official as some documents contain sensitive data information. Considering the above drawbacks, we put forward a fuzzy keywords-driven public sports resource allocation strategies retrieval approach based on the Simhash (named PSRAS <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">k+S</sub> ) in the paper. The retrieval approach can accurately recommend appropriate documents to the government officials, by using the text description mining of documents and the fuzzy keywords search technology. Furthermore, the retrieval process is not revealing the sensitive data information of the irrelevant public sports resource allocation strategy document to the government officials, so the retrieval process can achieve local information protection mechanism. Finally, a case study explains the feasibility and effectiveness of our retrieval approach step by step.
Highlights
The public sports resources [1] refer to the country can provide various public sports services containing the human resource services, physical resource services and financial resource services for the people
We put forward a fuzzy keywords-driven public sports resource allocation strategies retrieval approach based on the Simhash in the paper
To better and faster seek the necessary public sports resource allocation strategy documents for government officials, we propose a novel fuzzy keywords-driven public sports resource allocation strategies retrieval approach based on the Simhash, named PSRASk+S
Summary
The public sports resources [1] refer to the country can provide various public sports services containing the human resource services, physical resource services and financial resource services for the people. The government officials need to take into account the privacy-preservation [1113] problems in searching for the public sports resource allocation strategy documents Considering these weaknesses, the paper proposes a fuzzy keywords-driven public sports resource allocation strategies retrieval approach based on the Simhash (named PSRASk+S). The PSRASk+S approach can reduce the government officials' burden on finding and selecting desired documents and protect the privacy data information of the irrelevant documents in recommending the necessary and high-quality public sports resource allocation strategy documents to the government officials. Our contributions in the paper are four-fold: (1) We generalize government officials’ inputs from exact professional words to more comprehensive text document that describes the requirements of the public sports resource allocation strategy (i.e., text description).
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