The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 16, 2019
Filed:
Oct. 09, 2014
Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;
Zhijian Wu, Shenzhen, CN;
Zixuan Zhao, Shenzhen, CN;
Yang Liu, Shenzhen, CN;
Xu Guo, Shenzhen, CN;
Wuquan Qin, Shenzhen, CN;
Qiang Li, Shenzhen, CN;
Song Lin, Shenzhen, CN;
TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen, CN;
Abstract
The present disclosure discloses a method for evaluating a search prompting system and a corresponding apparatus. The method includes: extracting corresponding assessment terms at random according to an assessment target; acquiring in sequence a minimum number of words that needs to be entered to cover each of the assessment terms; calculating a corresponding coverage efficiency factor and a corresponding prompt efficiency factor according to the minimum number of words that needs to be entered to cover each of the assessment terms, and calculating a coverage rate of each of the assessment terms according to the coverage efficiency factor and the prompt efficiency factor; and performing weighted averaging calculation on the coverage rate of each of the assessment terms, to obtain a coverage rate of the assessment target. In the present disclosure, a coverage efficiency factor and a prompt efficiency factor are further taken into consideration for the calculation of a suggestion coverage rate of an assessment term, so that the evaluation of the effectiveness of a search prompting system can be comprehensively quantified and refined. Therefore, the result of effectiveness evaluation can more accurately reflect the problems of the search prompting system, which enables developers to perform corresponding adjustment, thereby further improving the search prompt efficiency of the search prompting system.