A vector generation unit derives a reference feature vector and a document feature vector. A feature quantity extraction unit performs a dimensionality reduction process on the reference feature vector and the document feature vector so as to set a dimensional value as a first feature quantity and derives a cosine similarity between the reference feature vector and the document feature vector as a second feature quantity. A grid division unit classifies documents into first partial regions obtained by dividing a feature quantity space of the first feature quantity, and classifies the documents into second partial regions obtained by dividing a range of the second feature quantity. A training data extraction unit selects, for each combination of a first partial region and a second partial region, a document classified in both the partial regions and sets documents selected with respect to all combinations as training data.

Implementations described herein relate to methods, systems, and computer-readable media to selectively synchronize database objects. In some implementations, a method includes receiving a request to synchronize records that include a corresponding root record and one or more connected records from a first database instance to a second database instance, wherein the request includes a specified graph configuration and an object boundary identifier; collecting the one or more records by traversing a corresponding graph configuration associated with each of the one or more root records; generating a snapshot that includes the one or more records into one or more object record sets based on a corresponding object boundary identifier associated with each of the one or more root records and the one or more connected records; publishing the snapshot to the second database instance; and updating the second database instance.

The present application discloses a method and apparatus for acquiring point-of-interest (POI) state information, a device and a computer storage medium, and relates to the field of big data. An implementation includes acquiring a text containing POI information in a preset time period from the Internet; and identifying the text using a pre-trained POI-state identifying model to obtain a binary group in the text, the binary group including a POI name and the POI state information corresponding to the POI name; wherein the POI-state identifying model performs label prediction of the POI name and a POI state on a word sequence corresponding to the text, and label prediction results of the POI name and the POI state are aligned to obtain the binary group. With the present application, a human cost may be saved, and timeliness and accuracy may be improved.

A method performs efficient data searches in a distributed computing system. The method may include, receiving a first key. The method may further include determining a hash map associated with the first key from among a plurality of hash maps. In some examples, the obtained hash map maps a partition of a set of keys to particular index values. The method may further include determining an index value associated with a second key using the determined hash map. The method may further include determining transaction processing data associated with the first key using the determined index value and providing the transaction processing data. Utilization of the plurality of hash maps may enable a data search to be performed using on-board memory of an electronic device of the distributed computing system.

A method performs efficient data searches in a distributed computing system. The method may include, receiving a first key. The method may further include determining a hash map associated with the first key from among a plurality of hash maps. In some examples, the obtained hash map maps a partition of a set of keys to particular index values. The method may further include determining an index value associated with a second key using the determined hash map. The method may further include determining transaction processing data associated with the first key using the determined index value and providing the transaction processing data. Utilization of the plurality of hash maps may enable a data search to be performed using on-board memory of an electronic device of the distributed computing system.

A server system, based on content of a first file stored on a first client device being modified, automatically receives a copy of the modified first file from a first transfer client, implemented on the first client device, the copy of the modified first file being an updated version of the first file generated from content of the first file being modified. The server system receives, from the first transfer client, first metadata associated with the updated version of the first file, the first metadata being assigned a first priority greater than a second priority assigned to the copy of the modified first file. The server system automatically transfers the first metadata to a second transfer client, implemented on a second client device, before the copy of the modified first file is transferred to the second transfer client to be stored on the second client device.

A server system, based on content of a first file stored on a first client device being modified, automatically receives a copy of the modified first file from a first transfer client, implemented on the first client device, the copy of the modified first file being an updated version of the first file generated from content of the first file being modified. The server system receives, from the first transfer client, first metadata associated with the updated version of the first file, the first metadata being assigned a first priority greater than a second priority assigned to the copy of the modified first file. The server system automatically transfers the first metadata to a second transfer client, implemented on a second client device, before the copy of the modified first file is transferred to the second transfer client to be stored on the second client device.

A decade from now, a visit to the supermarket will be a very different experience than the familiar experiences of decades past. Product packaging will come alive with interactivity—each object a portal into a rich tapestry of experiences, with contributions authored by the product brand, by the store selling the product, and by other shoppers. The present technology concerns arrangements for authoring and delivering such experiences. A great variety of other features and technologies are also detailed.

A decade from now, a visit to the supermarket will be a very different experience than the familiar experiences of decades past. Product packaging will come alive with interactivity—each object a portal into a rich tapestry of experiences, with contributions authored by the product brand, by the store selling the product, and by other shoppers. The present technology concerns arrangements for authoring and delivering such experiences. A great variety of other features and technologies are also detailed.

A packet processing technique can include receiving a packet, and parsing the packet based on a protocol field to generate a parse result vector. The parse result vector is used to select between forwarding the packet to a virtual machine executing on a host processing integrated circuit, forwarding the packet to a physical media access controller, multicasting the packet to multiple virtual machines executing on the host processing integrated circuit, and sending the packet to a hypervisor.