Information processing apparatus, information processing method, and program for prediction model generated based on evaluation information
First Claim
1. An information processing server comprising:
- circuitry configured to;
receive first evaluation information given by a first user, the first evaluation information including content type evaluation and person type evaluation;
analyze the received first evaluation information, including determining whether the first evaluation information includes positive evaluation to a second user or positive evaluation to a content,wherein,if a result of the analysis indicates that the first evaluation information includes the positive evaluation to the second user, the circuitry is further configured to generate a prediction model of the first user based on the first evaluation information of the first user and second evaluation information of the second user evaluated positively by the first user, andif the result of the analysis indicates that the first evaluation information does not include the positive evaluation to the second user, but includes the positive evaluation to the content, the circuitry is further configured to generate the prediction model of the first user based on the first evaluation information of the first user; and
output a recommended content to a user terminal associated with the first user based on the prediction model of the first user.
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Abstract
Disclosed herein is an information processing apparatus including an evaluation information extraction section configured to extract evaluation information including an object targeted to be evaluated and an evaluation of the object targeted to be evaluated from a linguistic expression given as information expressed linguistically by a user of interest; an identification section configured to identify whether the evaluation information is of a first type regarding content or of a second type regarding another user; and an evaluation prediction section configured to predict the evaluation by the user of interest regarding the content, based on the evaluation information of the first type given by the user of interest and on the evaluation information given by the other user in the evaluation information of the second type given by the user of interest.
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Citations
21 Claims
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1. An information processing server comprising:
circuitry configured to; receive first evaluation information given by a first user, the first evaluation information including content type evaluation and person type evaluation; analyze the received first evaluation information, including determining whether the first evaluation information includes positive evaluation to a second user or positive evaluation to a content, wherein, if a result of the analysis indicates that the first evaluation information includes the positive evaluation to the second user, the circuitry is further configured to generate a prediction model of the first user based on the first evaluation information of the first user and second evaluation information of the second user evaluated positively by the first user, and if the result of the analysis indicates that the first evaluation information does not include the positive evaluation to the second user, but includes the positive evaluation to the content, the circuitry is further configured to generate the prediction model of the first user based on the first evaluation information of the first user; and output a recommended content to a user terminal associated with the first user based on the prediction model of the first user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 21)
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8. An information processing method comprising:
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receiving first evaluation information given by a first user, the first evaluation information including content type evaluation and person type evaluation; analyzing the received first evaluation information, including determining whether the first evaluation information includes positive evaluation to a second user or positive evaluation to a content, wherein, if a result of the analysis indicates that the first evaluation information includes the positive evaluation to the second user, the method further includes generating a prediction model of the first user based on the first evaluation information of the first user and second evaluation information of the second user evaluated positively by the first user, and if the result of the analysis indicates that the first evaluation information does not include the positive evaluation to the second user, but includes the positive evaluation to the content, the method further includes generating the prediction model of the first user based on the first evaluation information of the first user; and outputting a recommended content to a user terminal associated with the first user based on the prediction model of the first user. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A non-transitory, computer-readable medium comprising instructions for causing a computer to execute a process comprising:
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receiving first evaluation information given by a first user, the first evaluation information including content type evaluation and person type evaluation; analyzing the received first evaluation information, including determining whether the first evaluation information includes positive evaluation to a second user or positive evaluation to a content, wherein, if a result of the analysis indicates that the first evaluation information includes the positive evaluation to the second user, the process further includes generating a prediction model of the first user based on the first evaluation information of the first user and second evaluation information of the second user evaluated positively by the first user, and if the result of the analysis indicates that the first evaluation information does not include the positive evaluation to the second user, but includes the positive evaluation to the content, the process further includes generating the prediction model of the first user based on the first evaluation information of the first user; and outputting a recommended content to a user terminal associated with the first user based on the prediction model of the first user. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification