Abstract: The present disclosure provides a method for processing sentence, including: determining a vector representation of a sentence to be processed; inputting the vector representation of the sentence to be processed to a first recurrent neural network, and updating a state of a hidden layer of the first recurrent neural network as a vector representation of a historical dialogue, wherein, if a processed sentence exists, the state of the hidden layer of the first recurrent neural network is related to the processed sentence; determining a knowledge vector related to the sentence to be processed; and generating a reply sentence based on the vector representation of the historical dialogue and the knowledge vector. The present disclosure further provides a system for processing sentence, an electronic device, and a computer-readable medium.

Abstract: The present application discloses a data exchange system, method, and device.

Abstract: The present application discloses a data exchange system, method, and device. The system comprises a first server configured to acquire a to-be-exchanged data identifier based on requirement information; store the to-be-exchanged data identifier: acquire a storage address of the to-be-exchanged data identifier; and encrypt the storage address of the to-be-exchanged data identifier to generate a first encrypted storage address; server; decrypt the first encrypted storage address to acquire the storage address of the to-be-exchanged data identifier; acquire the to-be-exchanged data identifier based on the storage address of the to-be-exchanged data identifier; and find to-be-exchanged data indicated by the to-be-exchanged data identifier from a pre-stored data set based on the to-be-exchanged data identifier, such that the first server acquires the to-be-exchanged data from the second server, the data set including data and a data identifier.

Abstract: A modular search object framework provides modular search results including entity and non-entity search results. The framework includes circuitry that outputs an interactive entity section based on an online search. The interactive section includes a plurality of moveable visual objects, such as cards that can be shuffled, flipped, or swiped around.

Abstract: A modular search object framework provides modular search results including entity and non-entity search results. The framework includes circuitry that outputs an interactive entity section based on an online search. The interactive section includes a plurality of moveable visual objects, such as cards that can be shuffled, flipped, or swiped around.

Abstract: An online article is enhanced by displaying, in association with the article, supplemental content that includes entities that are extracted from the article and/or entities that are related to entities that are extracted from the article. The supplemental content further includes information about each of the entities. The information about an entity may be obtained by searching for the entity in one or more searchable repositories of data. For example, the supplemental content may include, for each entity, video, image, web, and/or news search results. The supplemental content may further include information such as stock quotes, abstracts, maps, scores, and so on. The entities are selected using a variety of analysis and ranking techniques based on contextual factors such as user-specific information, time-sensitive popularity trends, grammatical features, search result quality, and so on. The entities may further be selected for purposes such as generating ad-based revenue.

Abstract: Methods and systems for JPEG encoding and decoding are disclosed. In the encoding method, an image is split into 8×8 pixel blocks and the 8×8 pixel blocks are grouped into a number of minimum coded units (MCU's), such that each MCU consists of a constant number of 8×8 pixel blocks. The MCU's are then scanned to forward discrete cosine transform, quantization, zigzag scanning and entropy encoding processes and are subsequently converted into bitstreams according to entropy encoding coding tables. In the entropy encoding process, AC coefficients are run-length encoded, while DC coefficients are not subjected to differential pulse-code modulation. The bitstreams are byte-aligned by stuffing zeroes and compression data for a special JPEG file are generated from the byte-aligned bitstreams. A position table is established, recording positions of the bitstreams in the compression data. The method enables fast positioning of bitstreams corresponding to an image region of interest.

Abstract: Methods and systems for JPEG encoding and decoding are disclosed. In the encoding method, an image is split into 8×8 pixel blocks and the 8×8 pixel blocks are grouped into a number of minimum coded units (MCU's), such that each MCU consists of a constant number of 8×8 pixel blocks. The MCU's are then scanned to forward discrete cosine transform, quantization, zigzag scanning and entropy encoding processes and are subsequently converted into bitstreams according to entropy encoding coding tables. In the entropy encoding process, AC coefficients are run-length encoded, while DC coefficients are not subjected to differential pulse-code modulation. The bitstreams are byte-aligned by stuffing zeroes and compression data for a special JPEG file are generated from the byte-aligned bitstreams. A position table is established, recording positions of the bitstreams in the compression data. The method enables fast positioning of bitstreams corresponding to an image region of interest.

Abstract: An online article is enhanced by displaying, in association with the article, supplemental content that includes entities that are extracted from the article and/or entities that are related to entities that are extracted from the article. The supplemental content further includes information about each of the entities. The information about an entity may be obtained by searching for the entity in one or more searchable repositories of data. For example, the supplemental content may include, for each entity, video, image, web, and/or news search results. The supplemental content may further include information such as stock quotes, abstracts, maps, scores, and so on. The entities are selected using a variety of analyses and ranking techniques based on contextual factors such as user-specific information, time-sensitive popularity trends, grammatical features, search result quality, and so on. The entities may further be selected for purposes such as generating ad-based revenue.

Abstract: An online article is enhanced by displaying, in association with the article, supplemental content that includes entities that are extracted from the article and/or entities that are related to entities that are extracted from the article. The supplemental content further includes information about each of the entities. The information about an entity may be obtained by searching for the entity in one or more searchable repositories of data. For example, the supplemental content may include, for each entity, video, image, web, and/or news search results. The supplemental content may further include information such as stock quotes, abstracts, maps, scores, and so on. The entities are selected using a variety of analyses and ranking techniques based on contextual factors such as user-specific information, time-sensitive popularity trends, grammatical features, search result quality, and so on. The entities may further be selected for purposes such as generating ad-based revenue.

Abstract: One particular embodiment accesses a plurality of user profiles corresponding to a plurality of users and a plurality of content objects; ranks the users in descending order based on a number of content objects each of the users has contributed to the social network; represents in log space ranks of the users versus in log space numbers of content objects contributed by the users; determines a threshold rank based on an increasing rate of the ranks of the users, a decreasing rate of the numbers of content objects, and a predetermined value in the log space; and identifies from among the users, those users ranked at and above the threshold rank as high-volume content contributors for the social network. The users belong to a social network; and each of the users has contributed at least one of the content objects to the social network.

Abstract: An online article is enhanced by displaying, in association with the article, supplemental content that includes entities that are extracted from the article and/or entities that are related to entities that are extracted from the article. The supplemental content further includes information about each of the entities. The information about an entity may be obtained by searching for the entity in one or more searchable repositories of data. For example, the supplemental content may include, for each entity, video, image, web, and/or news search results. The supplemental content may further include information such as stock quotes, abstracts, maps, scores, and so on. The entities are selected using a variety of analyses and ranking techniques based on contextual factors such as user-specific information, time-sensitive popularity trends, grammatical features, search result quality, and so on. The entities may further be selected for purposes such as generating ad-based revenue.

Abstract: One particular embodiment accesses a plurality of user profiles corresponding to a plurality of users and a plurality of content objects; ranks the users in descending order based on a number of content objects each of the users has contributed to the social network; represents in log space ranks of the users versus in log space numbers of content objects contributed by the users; determines a threshold rank based on an increasing rate of the ranks of the users, a decreasing rate of the numbers of content objects, and a predetermined value in the log space; and identifies from among the users, those users ranked at and above the threshold rank as high-volume content contributors for the social network. The users belong to a social network; and each of the users has contributed at least one of the content objects to the social network.

Abstract: Systems, methods, and computer readable media are disclosed for discovering relationships between one or more content items and one or more users. The method of the present invention comprises retrieving one or more bookmarks and one or more tags associated with one or URLs generated by one or more users. One or more sets of related tags are generated according to a frequency with which the one or more retrieved tags co-occur within a given corpus of content items. The one or more URLs associated with the one or more identified sets of related tags are identified. The one or more users that generated bookmarks for the one or more sets of related URLs are identified. A recommendation is generated for one or more tags, URLs, and users in response to receiving a bookmark for a given URL through use of the related tags, URLs, and users.