Abstract: Provided is a technique for facilitating evaluation of a relationship between persons in work. An information processing device according to one embodiment includes: an acquisition unit that acquires an achievement value for each work representing an achievement of each work obtained when a plurality of workers is combined and allocated to the work; a calculation unit that calculates an evaluation value for each work by comparing the achievement value for each work with a reference value; a determination unit that determines quality of a relationship between the plurality of workers based on the evaluation value for each work; and a setting unit that sets, based on a result of the determination, a relationship value numerically representing the quality of the relationship between the plurality of workers.

Abstract: A question document is divided into predetermined areas, and it is judged whether each divided area is important, to thereby extract an important area. A reply example candidate likelihood value is calculated for each important area, the likelihood value indicating the degree representative of whether each reply example candidate corresponds to a question content. By using the reply example candidate likelihood value, important areas having similar meanings are combined to extract final important parts. A reply example candidate is selected for each important part from reply example candidates prepared beforehand. A reply example candidate reliability degree representative of certainty of each reply example candidate and a reply composition degree indicating whether it is necessary to compose a new reply are calculated, and by using these values, question documents are distributed to different operator terminals.

Abstract: A question document is divided into predetermined areas, and it is judged whether each divided area is important, to thereby extract an important area. A reply example candidate likelihood value is calculated for each important area, the likelihood value indicating the degree representative of whether each reply example candidate corresponds to a question content. By using the reply example candidate likelihood value, important areas having similar meanings are combined to extract final important parts. A reply example candidate is selected for each important part from reply example candidates prepared beforehand. A reply example candidate reliability degree representative of certainty of each reply example candidate and a reply composition degree indicating whether it is necessary to compose a new reply are calculated, and by using these values, question documents are distributed to different operator terminals.