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INFORMATION-PROCESSING DEVICE, INFORMATION-PROCESSING METHOD, PROGRAM, AND NON-TEMPORARY STORAGE MEDIUM

外国特許コード F160008889
整理番号 (S2015-0015-N0)
掲載日 2016年10月25日
出願国 世界知的所有権機関(WIPO)
国際出願番号 2016JP051909
国際公開番号 WO 2016117698
国際出願日 平成28年1月22日(2016.1.22)
国際公開日 平成28年7月28日(2016.7.28)
優先権データ
  • 特願2015-011853 (2015.1.23) JP
発明の名称 (英語) INFORMATION-PROCESSING DEVICE, INFORMATION-PROCESSING METHOD, PROGRAM, AND NON-TEMPORARY STORAGE MEDIUM
発明の概要(英語) The information-processing device includes: a first calculation unit for calculating similarity between the data to be processed in a first data set composed of a plurality of data and a query as the data to be searched; a specification unit for specifying, for each of the data to be processed, a second data set composed of some data in the first data set; a second calculation unit for calculating a criterion for each of the data to be processed from the second data set specified by the specification unit; and a third calculation unit for calculating a score for each of the data to be processed by using the similarity calculated by the first calculation unit and the criterion calculated by the second calculation unit.
特許請求の範囲(英語) [claim1]
1. The 1st calculation section which calculates similarity with [kueri] as a processing object data and a retrieval object data within the 1st data set which is formed by the plural data and,
The 2nd data set which is formed by the data of portion within the aforementioned 1st data set, the specific section which specifies in every aforementioned processing object data and,
From the aforementioned 2nd data set where the aforementioned specific section specifies, the 2nd calculation section which calculates the standard every of aforementioned processing object data and,
The 3rd calculation section which calculates score in every aforementioned processing object data making use aforementioned similarity the aforementioned 1st calculation section calculates and with of the standard which the aforementioned 2nd calculation section calculates, and,
The information processing equipment which is included.
[claim2]
2. The extraction section which is extracted concerning aforementioned [kueri], the data of 1st predetermined number, on the basis of the aforementioned score from the aforementioned 1st data set
Furthermore in the claim 1 which it has the information processing equipment of statement.
[claim3]
3. The aforementioned specific section the aforementioned 2nd data set specifies on the basis of similarity with the data and the aforementioned processing object data within the aforementioned 1st data set,
Claim 1 or in claim 2 information processing equipment of statement.
[claim4]
4. The aforementioned specific section the aforementioned 2nd data set specifies by extracting the data of 2nd predetermined number in the order whose similarity with the data and the aforementioned processing object data within the aforementioned 1st data set is high,
From claim 1 either of claim 3 in one section information processing equipment of statement.
[claim5]
5. The aforementioned 2nd predetermined number, when the data of 1st predetermined number is extracted in the order whose particular similarity is high on the basis of similarity in all combinations of two data within the aforementioned 1st data set, vis-a-vis each data within the aforementioned 1st data set, similarity with frequency and the standard of the aforementioned processing object data where the aforementioned processing object data is extracted and the particular processing object data and, it is a quantity where correlation between becomes maximum
In claim 4 information processing equipment of statement.
[claim6]
6. The aforementioned 2nd predetermined number, when the data of 1st predetermined number is extracted in the order whose particular similarity is high on the basis of similarity in all combinations of two data within the aforementioned 1st data set, vis-a-vis each data within the aforementioned 1st data set, it is a quantity where skewness of the distribution regarding the frequency where the aforementioned processing object data is extracted becomes smallest
In claim 4 information processing equipment of statement.
[claim7]
7. The aforementioned 1st calculation section calculates aforementioned similarity at least either inside inner product and the cosine and distance and the kernel on the basis of one
From claim 1 either of claim 6 in one section information processing equipment of statement.
[claim8]
8. Information processing equipment,
The 1st step which calculates similarity with [kueri] as a processing object data and a retrieval object data within the 1st data set which is formed by the plural data and,
The 2nd data set which is formed by the data of portion within the aforementioned 1st data set, the 2nd step which specifies in every aforementioned processing object data and,
From the aforementioned 2nd data set which specifies in the aforementioned 2nd step, the 3rd step which calculates the standard every of aforementioned processing object data and,
The 4th step which calculates score in every aforementioned processing object data with of the standard which was calculated making use aforementioned similarity it calculated in the aforementioned 1st step and in the aforementioned 3rd step, and,
The information processing method of including.
[claim9]
9. In computer,
The 1st step which calculates similarity with [kueri] as a processing object data and a retrieval object data within the 1st data set which is formed by the plural data and,
The 2nd data set which is formed by the data of portion within the aforementioned 1st data set, the 2nd step which specifies in every aforementioned processing object data and,
From the aforementioned 2nd data set which specifies in the aforementioned 1st step, the 3rd step which calculates the standard every of aforementioned processing object data and,
The 4th step which calculates score in every aforementioned processing object data with of the standard which was calculated making use aforementioned similarity it calculated in the aforementioned 1st step and in the aforementioned 3rd step, and,
The program in order to make execute.
[claim10]
10. In computer,
The 1st step which calculates similarity with [kueri] as a processing object data and a retrieval object data within the 1st data set which is formed by the plural data and,
The 2nd data set which is formed by the data of portion within the aforementioned 1st data set, the 2nd step which specifies in every aforementioned processing object data and,
From the aforementioned 2nd data set which specifies in the aforementioned 1st step, the 3rd step which calculates the standard every of aforementioned processing object data and,
The 4th step which calculates score in every aforementioned processing object data with of the standard which was calculated making use aforementioned similarity it calculated in the aforementioned 1st step and in the aforementioned 3rd step, and,
The computer reading possible non temporary storage medium which records the program in order to make execute.
  • 出願人(英語)
  • ※2012年7月以前掲載分については米国以外のすべての指定国
  • INTER-UNIVERSITY RESEARCH INSTITUTE CORPORATION RESEARCH ORGANIZATION OF INFORMATION AND SYSTEMS
  • 発明者(英語)
  • HARA KAZUO
  • SUZUKI IKUMI
国際特許分類(IPC)
指定国 National States: AE AG AL AM AO AT AU AZ BA BB BG BH BN BR BW BY BZ CA CH CL CN CO CR CU CZ DE DK DM DO DZ EC EE EG ES FI GB GD GE GH GM GT HN HR HU ID IL IN IR IS JP KE KG KN KP KR KZ LA LC LK LR LS LU LY MA MD ME MG MK MN MW MX MY MZ NA NG NI NO NZ OM PA PE PG PH PL PT QA RO RS RU RW SA SC SD SE SG SK SL SM ST SV SY TH TJ TM TN TR TT TZ UA UG US UZ VC VN ZA ZM ZW
ARIPO: BW GH GM KE LR LS MW MZ NA RW SD SL SZ TZ UG ZM ZW
EAPO: AM AZ BY KG KZ RU TJ TM
EPO: AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
OAPI: BF BJ CF CG CI CM GA GN GQ GW KM ML MR NE SN ST TD TG

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