REPLY INFORMATION RECOMMENDATION METHOD AND APPARATUS
First Claim
1. A reply information recommendation method, comprising:
- acquiring information to be replied to received by a user and pre-reply information that is input by the user and corresponding to the information to be replied to;
performing segmentation processing on the information to be replied to, to obtain a segmentation processing result;
learning a stored text interaction history set of the user to obtain a reply model, wherein the text interaction history set comprises at least one piece of historical information to be replied to that is historically received by the user and reply information corresponding to the at least one piece of historical information to be replied to, and the reply model comprises at least one set of a correspondence between historical information to be replied to and reply information;
obtaining candidate reply information with reference to the segmentation processing result of the information to be replied to and the reply model; and
calculating a set of recommended reply information with reference to the candidate reply information and the pre-reply information.
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Abstract
A reply information recommendation method and apparatus provides recommended reply information suitable for a context that can be quickly and accurately calculated when a user replies to information. A specific solution is: acquiring information to be replied to received by a user and pre-reply information that is input by the user and corresponding to the information to be replied to; performing segmentation processing on the information to be replied to, to obtain a segmentation processing result; learning a stored text interaction history set of the user to obtain a reply model; obtaining candidate reply information with reference to the segmentation processing result of the information to be replied to and the reply model; and calculating a set of recommended reply information with reference to the candidate reply information and the pre-reply information. The embodiments of present invention are used for reply information recommendation.
34 Citations
18 Claims
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1. A reply information recommendation method, comprising:
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acquiring information to be replied to received by a user and pre-reply information that is input by the user and corresponding to the information to be replied to; performing segmentation processing on the information to be replied to, to obtain a segmentation processing result; learning a stored text interaction history set of the user to obtain a reply model, wherein the text interaction history set comprises at least one piece of historical information to be replied to that is historically received by the user and reply information corresponding to the at least one piece of historical information to be replied to, and the reply model comprises at least one set of a correspondence between historical information to be replied to and reply information; obtaining candidate reply information with reference to the segmentation processing result of the information to be replied to and the reply model; and calculating a set of recommended reply information with reference to the candidate reply information and the pre-reply information. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A reply information recommendation apparatus, comprising:
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an acquiring unit, configured to acquire information to be replied to received by a user and pre-reply information that is input by the user and corresponding to the information to be replied to; a segmenting unit, configured to perform segmentation processing on the information to be replied to acquired by the acquiring unit, to obtain a segmentation processing result; a learning unit, configured to learn a stored text interaction history set of the user to obtain a reply model, wherein the text interaction history set comprises at least one piece of historical information to be replied to that is historically received by the user and reply information corresponding to the at least one piece of historical information to be replied to, and the reply model comprises at least one set of a correspondence between historical information to be replied to and reply information; a candidates unit, configured to obtain candidate reply information with reference to the segmentation processing result that is of the information to be replied to and obtained by the segmenting unit and the reply model obtained by the learning unit; and a recommending unit, configured to calculate a set of recommended reply information with reference to the candidate reply information obtained by the candidates unit and the pre-reply information acquired by the acquiring unit. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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Specification