Abstract: Embodiments of the present disclosure disclose a shift register unit, a driving method thereof, and a device. The shift register unit includes an input circuit, a node control circuit, a first control output circuit, a second control output circuit and an output circuit. By providing the first control output circuit and the second control output circuit, the first control output circuit and the second control output circuit may operate alternately, so that the first control output circuit and the second control output circuit may have time for characteristics recovery respectively, thus improving the service life and output stability of the shift register unit.

Abstract: The present teaching relates to recommending content by analyzing the streamed data. A request is received from a user requesting one or more recommendations from a set of items. A first distribution indicative of an interest distribution of the user in a plurality of topics is obtained. For each item, a second distribution indicative of a classification distribution of the item with respect to the plurality of topics is obtained. A score is estimated based on the first distribution and the second distribution, wherein the score indicates likelihood that the user is interested in the item. The scores associated with the set of items are ranked. The one or more recommendations are presented based on the ranked scores.

Abstract: The present teaching relates to ranking search content. In one example, a plurality of documents is received to be ranked with respect to a query. Features are extracted from the query and the plurality of documents. The plurality of documents is ranked based on a ranking model and the extracted features. The ranking model is derived to remove one or more documents from the plurality of documents that are less relevant to the query and order remaining documents based on their relevance to the query. The ordered remaining documents are provided as a search result with respect to the query.

Abstract: The present teaching relates to recommending content by analyzing the streamed data. A request is received from a user requesting one or more recommendations from a set of items. A first distribution indicative of an interest distribution of the user in a plurality of topics is obtained. For each item, a second distribution indicative of a classification distribution of the item with respect to the plurality of topics is obtained. A score is estimated based on the first distribution and the second distribution, wherein the score indicates likelihood that the user is interested in the item. The scores associated with the set of items are ranked. The one or more recommendations are presented based on the ranked scores.

Abstract: The present teaching relates to ranking search content. In one example, a plurality of documents is received to be ranked with respect to a query. Features are extracted from the query and the plurality of documents. The plurality of documents is ranked based on a ranking model and the extracted features. The ranking model is derived to remove one or more documents from the plurality of documents that are less relevant to the query and order remaining documents based on their relevance to the query. The ordered remaining documents are provided as a search result with respect to the query.

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 teaching relates to rewriting a query and providing search results. In one example, a plurality of queries is obtained. For each of the plurality of queries, one or more search results are identified. The one or more search results have been obtained in response to the query and have been previously selected by a user submitting the query. A plurality of titles is obtained. Each of the titles corresponds to one of the one or more search results with respect to one of the plurality of queries. A model is generated based on the plurality of queries and the plurality of titles. The model is to be used for rewriting a query.

Abstract: A coal measures fault formation simulation experimental device and a normal and reverse fault simulation experiment method relate to the field of similar material simulation experiment technology. The device includes a hydraulic lifting apparatus, a lower angle adjusting apparatus, a push rod apparatus, an upper loading apparatus, an upper angle adjusting apparatus, a lateral loading apparatus and a transparent side plate. The hydraulic lifting apparatus and the lower angle adjusting apparatus are below the experimental body, the upper loading apparatus and the upper angle adjusting apparatus are above the experimental body, the transparent side plate is disposed at a rear side surface of the experimental body, and the lateral loading apparatus is disposed at an end face of the experimental body.

Abstract: Provided are a normal fault simulation experiment device with an adjustable angle and an adjustable fracture initiation position and a method of using the same, which relate to the technical field of normal fault simulation experiments. The device includes a base, a column, a baffle plate, a hydraulic lifting apparatus, a lower angle adjusting apparatus, a push rod apparatus, an upper loading apparatus, an upper angle adjusting apparatus, a front baffle plate and a transparent side plate. The hydraulic lifting apparatus and the lower angle adjusting apparatus are disposed below an experimental body, the upper loading apparatus and the upper angle adjusting apparatus are disposed above the experimental body, the transparent side plate is disposed on a rear side surface of the experimental body, and a plurality of strip-shaped front baffle plates are disposed on a front side surface of the experimental body.

Abstract: Provided are a normal fault simulation experiment device with an adjustable angle and an adjustable fracture initiation position and a method of using the same, which relate to the technical field of normal fault simulation experiments. The device includes a base, a column, a baffle plate, a hydraulic lifting apparatus, a lower angle adjusting apparatus, a push rod apparatus, an upper loading apparatus, an upper angle adjusting apparatus, a front baffle plate and a transparent side plate. The hydraulic lifting apparatus and the lower angle adjusting apparatus are disposed below an experimental body, the upper loading apparatus and the upper angle adjusting apparatus are disposed above the experimental body, the transparent side plate is disposed on a rear side surface of the experimental body, and a plurality of strip-shaped front baffle plates are disposed on a front side surface of the experimental body.

Abstract: A coal measures fault formation simulation experimental device and a normal and reverse fault simulation experiment method relate to the field of similar material simulation experiment technology. The device includes a hydraulic lifting apparatus, a lower angle adjusting apparatus, a push rod apparatus, an upper loading apparatus, an upper angle adjusting apparatus, a lateral loading apparatus and a transparent side plate. The hydraulic lifting apparatus and the lower angle adjusting apparatus are below the experimental body, the upper loading apparatus and the upper angle adjusting apparatus are above the experimental body, the transparent side plate is disposed at a rear side surface of the experimental body, and the lateral loading apparatus is disposed at an end face of the experimental body.

Abstract: A location prediction framework is described for applying location labels or tags to target documents and/or identifying location-sensitive queries. Terms in content and queries are represented by corresponding term locations vectors (TLVs) in which the term is represented as a weighted distribution across locations. Each element of a TLV represents a probability that the term corresponding to the TLV relates to a particular location. Predicted locations may be introduced as features to a ranking framework to improve the identification and ranking of search results for a given query.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a unified digital content discovery framework that implements a combination of a logistic loss function and a pair-wise loss function for information retrieval. The logistic loss function reduces non-relevant images from appearing in the retrieved results, while the pair-wise loss function ensures that the highest-quality content is included in such results.

Abstract: A location prediction framework is described for applying location labels or tags to target documents and/or identifying location-sensitive queries. Terms in content and queries are represented by corresponding term locations vectors (TLVs) in which the term is represented as a weighted distribution across locations. Each element of a TLV represents a probability that the term corresponding to the TLV relates to a particular location. Predicted locations may be introduced as features to a ranking framework to improve the identification and ranking of search results for a given query.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a unified digital content discovery framework that implements a combination of a logistic loss function and a pair-wise loss function for information retrieval. The logistic loss function reduces non-relevant images from appearing in the retrieved results, while the pair-wise loss function ensures that the highest-quality content is included in such results.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in social media content generation and delivery and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically method for automatically summarizing social media content using a timeline comprising a set (or chain) of episodes and a summary of each episode. The disclosed systems and methods identify a number of episodes based on analysis of each social media content item of a corpus, identify a number of social content items to summarize each episode, and generate a timeline summarization of the corpus of social media content items.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in social media content generation and delivery and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically method for automatically summarizing social media content using a timeline comprising a set (or chain) of episodes and a summary of each episode. The disclosed systems and methods identify a number of episodes based on analysis of each social media content item of a corpus, identify a number of social content items to summarize each episode, and generate a timeline summarization of the corpus of social media content items.

Abstract: The present teaching relates to rewriting a query and providing search results. In one example, a plurality of queries is obtained. For each of the plurality of queries, one or more search results are identified. The one or more search results have been obtained in response to the query and have been previously selected by a user submitting the query. A plurality of titles is obtained. Each of the titles corresponds to one of the one or more search results with respect to one of the plurality of queries. A model is generated based on the plurality of queries and the plurality of titles. The model is to be used for rewriting a query.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a unified digital content discovery framework that implements a combination of a logistic loss function and a pair-wise loss function for information retrieval. The logistic loss function reduces non-relevant images from appearing in the retrieved results, while the pair-wise loss function ensures that the highest-quality content is included in such results.

Abstract: The present teaching relates to recommending content by analyzing the streamed data. A request is received from a user requesting one or more recommendations from a set of items. A first distribution indicative of an interest distribution of the user in a plurality of topics is obtained. For each item, a second distribution indicative of a classification distribution of the item with respect to the plurality of topics is obtained. A score is estimated based on the first distribution and the second distribution, wherein the score indicates likelihood that the user is interested in the item. The scores associated with the set of items are ranked.