Reply information recommendation method and apparatus
First Claim
1. A reply information recommendation method, comprising:
- acquiring information to be replied to and 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;
determining a set of recommended reply information with reference to the candidate reply information and the pre-reply information, wherein the set of recommended reply information comprises multiple expressions having different expression manners at different tone intensities, wherein the set of recommended reply information is determined using semantic matching and fuzzy string matching; and
presenting the set of recommended reply information to the user for selection of at least one of the multiple expressions, wherein the set of recommended reply information is presented in an arrangement based on the different expression manners and a ranking of the recommended 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.
27 Citations
18 Claims
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1. A reply information recommendation method, comprising:
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acquiring information to be replied to and 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; determining a set of recommended reply information with reference to the candidate reply information and the pre-reply information, wherein the set of recommended reply information comprises multiple expressions having different expression manners at different tone intensities, wherein the set of recommended reply information is determined using semantic matching and fuzzy string matching; and presenting the set of recommended reply information to the user for selection of at least one of the multiple expressions, wherein the set of recommended reply information is presented in an arrangement based on the different expression manners and a ranking of the recommended 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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a memory; and at least one processor configured to; acquire information to be replied to and received by a user and pre-reply information that is input by the user and corresponding to the information to be replied to; perform segmentation processing on the information to be replied to, to obtain a segmentation processing result; 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; obtain candidate reply information with reference to the segmentation processing result that is of the information to be replied to and the reply model; determine a set of recommended reply information with reference to the candidate reply information and the pre-reply information, wherein the set of recommended reply information comprises multiple expressions having different expression manners at different tone intensities, wherein the set of recommended reply information is determined using semantic matching and fuzzy string matching; and control the apparatus to present the set of recommended reply information to the user for selection of at least one of the multiple expressions, wherein the set of recommended reply information is presented in an arrangement based on the different expression manners and a ranking of the recommended reply information. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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Specification