INFORMATION RECOMMENDATION METHOD AND APPARATUS IN SOCIAL MEDIA
First Claim
1. An information recommendation method in a social media, the method comprising:
- in an off-line procedure,determining a point of interest of a target user from historical operation information that is of the target user and in the social media,selecting information related to the point of interest from historical operation information that is of a quality user related to the point of interest and in the social media, as an annotated corpus, andtraining an interest classification model of the target user by using the annotated corpus as a training sample; and
in an on-line procedure,acquiring to-be-recommended information of the social media,inputting the to-be-recommended information to the interest classification model of the target user, so as to determine whether the to-be-recommended information tallies with an interest of the target user, andif the to-be-recommended information tallies with the interest of the target user, recommending the to-be-recommended information to the target user.
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Abstract
The present invention provides an information recommendation method and apparatus in a social media. An off-line procedure includes: determining a point of interest of a target user; selecting information related to the point of interest as an annotated corpus; and training an interest classification model of the target user by using the annotated corpus as a training sample. An on-line procedure includes: inputting to-be-recommended information to the interest classification model of the target user, so as to determine whether the to-be-recommended information tallies with an interest of the target user; and if the to-be-recommended information tallies with the interest of the target user, recommending the to-be-recommended information to the target user. According to the present invention, an effect of information recommendation in a social media can be improved.
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Citations
19 Claims
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1. An information recommendation method in a social media, the method comprising:
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in an off-line procedure, determining a point of interest of a target user from historical operation information that is of the target user and in the social media, selecting information related to the point of interest from historical operation information that is of a quality user related to the point of interest and in the social media, as an annotated corpus, and training an interest classification model of the target user by using the annotated corpus as a training sample; and in an on-line procedure, acquiring to-be-recommended information of the social media, inputting the to-be-recommended information to the interest classification model of the target user, so as to determine whether the to-be-recommended information tallies with an interest of the target user, and if the to-be-recommended information tallies with the interest of the target user, recommending the to-be-recommended information to the target user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer system, comprising:
a non-transitory memory and a processor, wherein the non-transitory memory stores instructions which when executed by the processor cause the processor to; in an off-line procedure, determine a point of interest of a target user from historical operation information that is of the target user and in the social media, select information related to the point of interest from historical operation information that is of a quality user related to the point of interest and in the social media, as an annotated corpus, and train an interest classification model of the target user by using the annotated corpus as a training sample; and in an on-line procedure, acquire to-be-recommended information of the social media, input the to-be-recommended information to the interest classification model of the target user, so as to determine whether the to-be-recommended information tallies with an interest of the target user, and if the to-be-recommended information tallies with the interest of the target user, recommend the to-be-recommended information to the target user. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19)
Specification