Information processing device, and generation method

A generation method performed by an information processing device which includes a memory, the generation method comprising:

• acquiring a plurality of documents and clue information including a plurality of words, the clue information being information acquired from a user of the information processing device or information stored in the memory;
• generating inter-document relationship source information indicating relationship between a plurality of documents including at least one of the plurality of words included in the clue information and an appearance position of each of the plurality of words included in the clue information in the document based on the plurality of documents and the clue information;
• judging based on the inter-document relationship source information whether or not a number of documents corresponding to each of the plurality of words included in the clue information is larger than or equal to a predetermined threshold value;
• generating high frequency appearance information indicating relationship between a plurality of documents including a plurality of words each corresponding to the number of documents larger than or equal to the threshold value and the appearance position of each of the plurality of words each corresponding to the number of documents larger than or equal to the threshold value in the document;
• generating vicinity appearance information indicating documents in which the plurality of words each corresponding to the number of documents larger than or equal to the threshold value appear in a predetermined range based on the high frequency appearance information;
• generating new inter-document relationship source information based on the vicinity appearance information and the inter-document relationship source information;
• calculating an inter-document relationship score indicating a relationship level between documents based on the new inter-document relationship source information;
• generating inter-document relationship information indicating relationship between documents based on the new inter-document relationship source information and the inter-document relationship score;
• and
• outputting a list of documents based on the inter-document relationship information.

An information processing device comprising:

• a processor to execute a program;
• and
• a memory to store the program which, when executed by the processor, performs processes of,
• acquiring a plurality of documents and clue information including a plurality of words, the clue information being information acquired from a user of the information processing device or information stored in the memory;
• generating inter-document relationship source information indicating relationship between a plurality of documents including at least one of the plurality of words included in the clue information and an appearance position of each of the plurality of words included in the clue information in the document based on the plurality of documents and the clue information;
• judging based on the inter-document relationship source information whether or not a number of documents corresponding to each of the plurality of words included in the clue information is larger than or equal to a predetermined threshold value;
• generating high frequency appearance information indicating relationship between a plurality of documents including a plurality of words each corresponding to the number of documents larger than or equal to the threshold value and the appearance position of each of the plurality of words each corresponding to the number of documents larger than or equal to the threshold value in the document;
• generating vicinity appearance information indicating documents in which the plurality of words each corresponding to the number of documents larger than or equal to the threshold value appear in a predetermined range based on the high frequency appearance information;
• generating new inter-document relationship source information based on the vicinity appearance information and the inter-document relationship source information;
• calculating an inter-document relationship score indicating a relationship level between documents based on the new inter-document relationship source information;
• generating inter-document relationship information indicating relationship between documents based on the new inter-document relationship source information and the inter-document relationship score;
• and
• outputting a list of documents based on the inter-document relationship information.