Abstract: The information replying method includes: receiving to-be-replied information, where the to-be-replied information includes text content and contact information; searching a database for corresponding dialog style information according to the text content and the contact information; performing preprocessing on the text content, where the preprocessing includes word segmentation processing and stop word removal processing; and searching, according to data that has undergone the preprocessing, the database corresponding to the dialog style information, to determine reply information.

Abstract: Memory systems may include a memory storage including at least a first stripe and a second stripe, the first stripe including data pages corresponding to the first stripe and a first parity page suitable for storing a first XOR parity, and the second stripe including data pages corresponding to the second stripe and a second parity page suitable for storing a second XOR parity, the data pages and parity pages being stored over a plurality of memory dies, wherein each memory die includes a number of planes; and a controller suitable for cyclically interleaving the data pages corresponding to the first stripe and the data pages corresponding to the second stripe.

Abstract: A semiconductor memory system and an operating method thereof includes: a one-time-programmable memory device storing at least a customer identification (ID) identifying a customer; a memory device; and a memory controller including a processor, and coupled to the memory device, containing instructions executed by the processor, and suitable for authenticating whether a program is authorized by a controller provider for the customer in a first-level signature authentication, in accordance with a customer image format, authenticating whether the program is authorized by the customer in a second-level signature authentication, in accordance with a program image format, after the first-level signature authentication is passed, when the customer image indicates the second-level signature authentication, wherein the program image format is different than the customer image format, storing the program into the memory device after the first-level signature authentication and second-level signature authentication are

Abstract: Memory systems may include a memory storage including at least a first stripe and a second stripe, the first stripe including data pages corresponding to the first stripe and a first parity page suitable for storing a first XOR parity, and the second stripe including data pages corresponding to the second stripe and a second parity page suitable for storing a second XOR parity, the data pages and parity pages being stored over a plurality of memory dies, wherein each memory die includes a number of planes; and a controller suitable for cyclically interleaving the data pages corresponding to the first stripe and the data pages corresponding to the second stripe.

Abstract: A data packet extraction method and apparatus is disclosed. Two hash values calculated based on quintuple information of different data packets of a same session are the same, that is, two calculated remainders are also the same at a same sampling ratio. When one remainder of the two calculated remainders is a preset sampling remainder, all the data packets in a network that belong to the session are extracted, so as to implement data packet extraction based on a session. When the quintuple information of the different data packets of the same session matches a first mapping table, either all the data packets of the same session can match the first mapping table, or none of the data packets of the same session can match the first mapping table, so as to implement data packet extraction based on a session.

Abstract: A method for lens-free imaging of a sample or objects within the sample uses multi-height iterative phase retrieval and rotational field transformations to perform wide FOV imaging of pathology samples with clinically comparable image quality to a benchtop lens-based microscope. The solution of the transport-of-intensity (TIE) equation is used as an initial guess in the phase recovery process to speed the image recovery process. The holographically reconstructed image can be digitally focused at any depth within the object FOV (after image capture) without the need for any focus adjustment, and is also digitally corrected for artifacts arising from uncontrolled tilting and height variations between the sample and sensor planes. In an alternative embodiment, a synthetic aperture approach is used with multi-angle iterative phase retrieval to perform wide FOV imaging of pathology samples and increase the effective numerical aperture of the image.

Abstract: The present invention is applicable to the field of information processing technologies, and provides an information push method and apparatus. The method includes: acquiring historical behavior information of a user from a social data source; dividing, according to a preset rule, the acquired historical behavior information into one or more documents related to user behavior information; obtaining a model according to the document and by using a statistical learning method; and generating push information based on the model, and sending the push information to a client where a corresponding user is located. The push information in the present invention is generated based on the historical behavior information of the user, so that accuracy of information push can be effectively improved.

Abstract: A method for parsing a question in a knowledge base includes: receiving a question entered by a user; performing phrase detection on the question to determine candidate phrases; mapping the candidate phrases to resource items in the knowledge base; further determining values of observed predicates and possible question parse spaces; performing uncertain inference on each proposition set in the possible question parse spaces according to the values of the observed predicates and values of hidden predicates, and calculating confidence; acquiring a combination of true propositions in a proposition set whose confidence satisfies a preset condition; generating a formal query statement according to the combination of true propositions.

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.

Abstract: Embodiments of the present invention provide a method and an apparatus for discovering a closely related user. The method includes: acquiring first data of a first user on social media and second data of a second user on the social media, where the second user is a user following the first user and/or a user followed by the first user; then, establishing a user model of the first user according to the first data and the second data; then, acquiring third data of a third user in social media, where the third user and the first user do not follow each other; afterward, performing matching between the third data and the user model to perform calculation, to obtain a matching result; and finally, if the matching result is greater than a preset value, determining that the third user is a closely related user of the first user.

Abstract: The information replying method includes: receiving to-be-replied information, where the to-be-replied information includes text content and contact information; searching a database for corresponding dialog style information according to the text content and the contact information; performing preprocessing on the text content, where the preprocessing includes word segmentation processing and stop word removal processing; and searching, according to data that has undergone the preprocessing, the database corresponding to the dialog style information, to determine reply information.

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.

Abstract: Information processing method and apparatus relating to the field of communications and information processing technologies is presented. The method and apparatus can include acquiring a search criterion entered by a user, where the search criterion includes a name of an entity and selecting, according to the name of the entity, a target triplet including the name of the entity from a knowledge base that is created in advance, where the target triplet further includes an attribute of the entity and an attribute value of the attribute, and displaying the name of the entity, the attribute of the entity, and the attribute value of the attribute.

Abstract: A text editing method and apparatus, and a server. The method includes acquiring a to-be-edited text; segmenting content in the to-be-edited text into word chunks; determining a to-be-replaced word chunk in the word chunks; acquiring at least one candidate word chunk similar to the to-be-replaced word chunk, and generating a candidate word chunk list; displaying the candidate word chunk list; and when an operation instruction that a user selects a candidate word chunk in the displayed candidate word chunk list is acquired, replacing the selected candidate word chunk with the to-be-replaced word chunk, to complete text editing. The embodiments of the present disclosure resolve a technical problem in the prior art that editing a text on a word basis leads to inaccurate cursor positioning, and improve user experience.

Abstract: The present invention relates to an information processing method, apparatus, and system. The method includes: receiving text information; performing calculation on the text information by using a first model to obtain a public sensitivity weight value corresponding to the text information; determining whether the public sensitivity weight value is greater than a first preset threshold; and if yes, displaying first processing prompt information indicating that the text information includes sensitive information; if no, performing calculation on the text information by using a second model to obtain an individual sensitivity weight value corresponding to the text information; and determining whether the individual sensitivity weight value is greater than a second preset threshold; and if yes, displaying second processing prompt information indicating that the text information includes sensitive information.

Abstract: A message processing method, terminal and system. The method includes: obtaining a user's historical message interaction information and first context data associated with the user's historical message interaction information, where the user's historical message interaction information includes historical message interaction content and historical message replying status; determining the user's message interaction preferences according to the user's historical message interaction information and the first context data, where the message interaction preferences include a message reply policy and/or a message writing style; receiving a current message sent to the user, and obtaining second context data associated with the current message; and replying to the current message according to the message interaction preferences, the current message, and the second context data.

Abstract: The present invention relates to an information processing method, apparatus, and system. The method includes: receiving text information; performing calculation on the text information by using a first model to obtain a public sensitivity weight value corresponding to the text information; determining whether the public sensitivity weight value is greater than a first preset threshold; and if yes, displaying first processing prompt information indicating that the text information includes sensitive information; if no, performing calculation on the text information by using a second model to obtain an individual sensitivity weight value corresponding to the text information; and determining whether the individual sensitivity weight value is greater than a second preset threshold; and if yes, displaying second processing prompt information indicating that the text information includes sensitive information.

Abstract: The present invention is applicable to the field of information processing technologies, and provides an information push method and apparatus. The method includes: acquiring historical behavior information of a user from a social data source; dividing, according to a preset rule, the acquired historical behavior information into one or more documents related to user behavior information; obtaining a model according to the document and by using a statistical learning method; and generating push information based on the model, and sending the push information to a client where a corresponding user is located. The push information in the present invention is generated based on the historical behavior information of the user, so that accuracy of information push can be effectively improved.

Abstract: A message processing method, terminal and system. The method includes: obtaining a user's historical message interaction information and first context data associated with the user's historical message interaction information, where the user's historical message interaction information includes historical message interaction content and historical message replying status; determining the user's message interaction preferences according to the user's historical message interaction information and the first context data, where the message interaction preferences include a message reply policy and/or a message writing style; receiving a current message sent to the user, and obtaining second context data associated with the current message; and replying to the current message according to the message interaction preferences, the current message, and the second context data.

Abstract: A message processing method, terminal and system. The method includes: obtaining a user's historical message interaction information and first context data associated with the user's historical message interaction information, where the user's historical message interaction information includes historical message interaction content and historical message replying status; determining the user's message interaction preferences according to the user's historical message interaction information and the first context data, where the message interaction preferences include a message reply policy and/or a message writing style; receiving a current message sent to the user, and obtaining second context data associated with the current message; and replying to the current message according to the message interaction preferences, the current message, and the second context data.