34 results about "Indexer" patented technology

A system and method for enabling a user to use a user computer to search the user's personal content items hosted by an online content management service, the online content management service having an indexer computer configured to generate a base index of the user's content items hosted by the service, a base index server computer configured to transmit the generated base index over a network to the user computer, an index mutation generator computer configured to generate index mutations for subsequent changes to user's hosted content items, and an index mutation sever computer configured to transmit the generated index mutations over the network to the user computer. In one aspect, the system and method enable searches of the user's hosted content items and changes thereto to be conducted at the user computer using an index local to the user computer constructed based on the base index and the index mutations received by the user computer.

An embedded device for playing media files is capable of generating a play list of media files based on input speech from a user. It includes an indexer generating a plurality of speech recognition grammars. According to one aspect of the invention, the indexer generates speech recognition grammars based on contents of a media file header of the media file. According to another aspect of the invention, the indexer generates speech recognition grammars based on categories in a file path for retrieving the media file to a user location. When a speech recognizer receives an input speech from a user while in a selection mode, a media file selector compares the input speech received while in the selection mode to the plurality of speech recognition grammars, thereby selecting the media file.

An indexer indexes a database of documents, and a search engine searches the database of documents. Nesting level information stored in index entries is used to identify, and match together, start and end meta words comprising fields at assorted nesting levels within a document. Based on a query specifying words to be found within fields, spatial criteria are applied to the identified meta words to determine if the specified words are found within the specified fields. A subset of the documents have nested fields, and each nested field has an associated start meta word and end meta word. Each meta word has an associated nesting level. Each document is indexed by parsing the document to determine locations within the document of words and meta words, as well as the nesting level associated with each meta word. An index is generated that has word entries, meta word entries, and generic meta word entries. The meta word entries indicate locations within the documents of an identified meta word, as well as the nesting level of the meta word. The generic meta word entries identify locations within the document of a class of meta words, including meta words at all nesting levels of the meta words within the document. For each identified location within the generic meta word entry, the generic meta word entry also includes nesting level information associated with the meta word at the identified location.

The invention relates to the technical field of financial science and technology, and discloses a data processing method, a device, equipment and a computer readable storage medium. The data processing method comprises the steps of obtaining to-be-stored data, storing the to-be-stored data into a preset key value memory in a key value pair form, and obtaining a corresponding first storage address;analyzing the to-be-stored data to obtain a first keyword; and establishing an index between the first keyword and the first storage address, and storing the index in a preset keyword indexer. The problem that an existing memory structure data storage mode is poor in flexibility can be solved.

The invention discloses an unstructured document management and rule and system entry management integrated system which comprises a data input module used for inputting rule and system files; The system file data set is used for storing rule file data; The indexer is used for constructing an index for the rule file data; The index library is used for storing all file indexes; The word segmentation device is used for analyzing at least one retrieval keyword from retrieval information input by a user; And the retriever is used for determining a target file index matched with the retrieval keyword from the file indexes in the index library, determining target description information corresponding to the target file index and displaying the target description information. The invention provides a storage and retrieval platform integrating unstructured document management and rule entry management, a user can quickly and accurately obtain a full-text retrieval result of a rule, and meanwhile, the cloud storage, access and management functions of the unstructured document can be realized.

The disclosure provides examples of methods, apparatuses, systems, and computer program products for implementing a search indexer. One example method includes receiving, by index workflow circuitry, a search index update indicator, causing, by the index workflow circuitry and in response to receiving the search index update indicator, index generation circuitry to retrieve data sets from a plurality of data sources, calculating a checksum for each of the data sets, comparing the checksum for each of the data sets to a set of search index metadata, in response to determining that at least one checksum for at least one of the data sets does not match a metadata checksum from the set of search index metadata, generating a set of search index data from the data set corresponding to the at least one checksum, generating a search index using at least the set of search index data, and transmitting the search index to a search service for use in responding to at least one search query.

The embodiment of the invention discloses a sensitive word detection method and device, computer equipment and a storage medium. The method belongs to the field of artificial intelligence, and the data processed by the method can be stored in a block chain. The method comprises the steps of obtaining a sensitive word bank; constructing a harmonic word bank; constructing a sensitive word indexer and a harmonic word indexer; if the to-be-tested text is received, filtering the to-be-tested text through a sensitive word indexer to obtain a first sensitive word set; removing non-Chinese charactersin the to-be-tested text to obtain a redundancy-removed text, and filtering the redundancy-removed text through a sensitive word indexer to obtain a second sensitive word set; filtering the to-be-tested text through a harmonic word indexer to obtain a third sensitive word set; filtering the redundancy-removed text through the harmonic word indexer to obtain the fourth sensitive word set, so that sensitive words in the to-be-detected text can be recognized, deformation words of the sensitive words can also be recognized, and the recognition accuracy is greatly improved.

The disclosure provides examples of methods, apparatuses, systems, and computer program products for implementing a search indexer. One example method includes receiving, by index workflow circuitry, a search index update indicator, causing, by the index workflow circuitry and in response to receiving the search index update indicator, index generation circuitry to retrieve data sets from a plurality of data sources, calculating a checksum for each of the data sets, comparing the checksum for each of the data sets to a set of search index metadata, in response to determining that at least one checksum for at least one of the data sets does not match a metadata checksum from the set of search index metadata, generating a set of search index data from the data set corresponding to the at least one checksum, generating a search index using at least the set of search index data, and transmitting the search index to a search service for use in responding to at least one search query.

The invention is used for fingerprint indexing of an ultra-large type fingerprint database. The invention discloses an indexing structure and retrieval method for an ultra-large type fingerprint database, belongs to the computer identification field, and in particular relates to the fields such as fingerprint identification, database, data retrieval, image processing, etc. The invention disclosesa construction method for an ultra-large type fingerprint database retrieval system structure, an index evaluation method based on index matching error probability, a fingerprint indexing method based on layering depth index, and an index evaluation method based on one-edge and multiple-time matching structure characteristics for quickening the indexing of the ultra-large type fingerprint database, which have practical value and common applicability. In the off-line database establishment procedure, three searchers with complementary functions of hash indexing, layering depth indexing and characteristic value indexing are built according to the index evaluation method based on index matching error probability; and in the on-line indexing procedure, searchers according to the index evaluation method based on index matching error probability and the index evaluation method based on one-edge and multiple-time matching structure characteristics are built.

The application discloses an index and retrieval system and method for scanned notes from whiteboard, wherein an illustrative demonstration apparatus for use in storing information in a memory is disclosed. The apparatus comprises a reusable panel for temporary display of user-drawn marks, a digitizer for generating digital information corresponding to the user-drawn marks, and an indexer for associating the digital information with a header. The header is based at least in part on a selected portion of the user-drawn marks selected by the user. The apparatus may also feature a redisplay capability permitting redisplay of the user-drawn marks on the reusable panel based on the digital information.

A method and computer program product are provided for defining a dynamic data storage class in-memory using a strongly-typed compiled language, and accessing data in the memory. A schema is defined of one or more key-value pairs of field names and data types, wherein the schema represents columns of a table in the memory. A table key is declared that represents the table in the memory. The dynamic data storage class is instantiated, using the strongly-typed compiled language, by passing the table key. Each instantiation of the dynamic data storage class is an individual row of the table in the memory. Fields of the dynamic data storage class are accessed by an overloaded indexer that uses strings as the field names in the schema.

A method for synchronous ingestion of input content may include determining, from an ingestion request, applicable ingestion pipeline components and an order by which the ingestion pipeline components are to be applied to input content; applying the ingestion pipeline components to the input content in the order determined from the ingestion request; updating a metadata file as the input content is processed by the ingestion pipeline components; and returning processed content, the metadata file, or both to a client device. The method may further include determining whether the ingestion request specifies a computing facility such as an indexer or a database downstream from the ingestion pipeline. If so, a processing result may be communicated to the computing facility for further processing. A server system may implement synchronous ingestion, asynchronous ingestion, or both.

The application discloses an index and retrieval system and method for scanned notes from whiteboard, wherein an illustrative demonstration apparatus for use in storing information in a memory is disclosed. The apparatus comprises a reusable panel for temporary display of user-drawn marks, a digitizer for generating digital information corresponding to the user-drawn marks, and an indexer for associating the digital information with a header. The header is based at least in part on a selected portion of the user-drawn marks selected by the user. The apparatus may also feature a redisplay capability permitting redisplay of the user-drawn marks on the reusable panel based on the digital information.

The present disclosure provides a method, system, and computer-readable storage media for operating a repository supporting multiple package types. To illustrate, the repository may be operated in accordance with an index framework that is used to maintain internal structures and interdependencies of each of the multiple package types. In a particular implementation, a REST API module may receive a REST request corresponding to a package type. In response to receiving the REST request, the REST API may initiate an index operation to generate index indicia based on the package type and a content of a portion of at least one memory corresponding to the package type. Based on the index indicia, an index model module may generate a packet type index and store, at a repository module, the package type index at a location in the at least one memory corresponding to the package type.

A method for synchronous ingestion of input content may include determining, from an ingestion request, applicable ingestion pipeline components and an order by which the ingestion pipeline components are to be applied to input content; applying the ingestion pipeline components to the input content in the order determined from the ingestion request; updating a metadata file as the input content is processed by the ingestion pipeline components; and returning processed content, the metadata file, or both to a client device. The method may further include determining whether the ingestion request specifies a computing facility such as an indexer or a database downstream from the ingestion pipeline. If so, a processing result may be communicated to the computing facility for further processing. A server system may implement synchronous ingestion, asynchronous ingestion, or both.

The invention discloses an industrial intelligent search system which comprises a scheduler, a collector, a knowledge engine, an industrial dictionary and a word segmentation device. The collector is used for carrying out data collection and data processing according to task requirements; the collector is in communication connection with the scheduler, and the scheduler is used for monitoring the execution condition of a collection task in real time according to a task list; the collector transmits the collected data to a database; the database is in communication connection with the indexer and the knowledge engine; the indexer is in communication connection with the index database; the index database is respectively in communication connection with the industrial dictionary and the searcher; the industrial dictionary is in communication connection with the word segmentation device; the word segmentation device is used for splitting a text into a vocabulary list; according to the method, the industrial enterprise information search efficiency and accuracy can be effectively improved, and the requirement of manufacturing enterprise users for personalized search of internal information is met; and the industrial manufacturing field lexicon covers the whole process from design to scrapping, and the pertinence is high.

The invention relates to a data query method and device based on HBase and computer equipment, and relates to the technical field of big data. According to the method, creating a secondary index table for columns, needing index creation, of a target data table in advance in an ES search engine; acquiring a combined query command line input by a user through an indexer, analyzing the combined query command line to obtain a combined query condition and a specified output column, outputting the combined query condition to an ES search engine, querying from a pre-established secondary index table through the ES search engine to obtain a target line key conforming to the combined query condition, and screening out target data from the target HBase data table according to the target row key and the specified output column. According to the technical scheme, multi-combination-condition query based on HBase can be realized, the query efficiency of multi-condition combination query is improved, and the use scene of combination query is greatly enriched.

According to the machine data-based measurement analysis method and system provided by the invention, different types of machine data are collected, forwarded, indexed, calculated and visualized, so that the analysis requirements of large-data-volume, semi-structured and large-concurrency complex machine data generated by an important information system are met; and operation and maintenance personnel can check the data in a multi-dimensional and fine-grained manner. According to the technical scheme, the method comprises the steps that a Spunk collector collects various machine data of an information system in a unified mode; the Splunk transponder is used for intensively forwarding the collected machine data to the Splunk indexer; carrying out centralized storage and calculation on the machine data by the Splunk indexer; the Spunk searcher analyzes the machine data in the Spunk indexer based on a predetermined measurement analysis model to obtain a visual measurement result; and the user logs in the Splunk searcher to check the measurement result.

The present disclosure provides a method, system, and computer-readable storage media for operating a repository supporting multiple package types. To illustrate, the repository may be operated in accordance with an index framework that is used to maintain internal structures and interdependencies of each of the multiple package types. In a particular implementation, a REST API module may receive a REST request corresponding to a package type. In response to receiving the REST request, the REST API may initiate an index operation to generate index indicia based on the package type and a content of a portion of at least one memory corresponding to the package type. Based on the index indicia, an index model module may generate a packet type index and store, at a repository module, the package type index at a location in the at least one memory corresponding to the package type.

The invention discloses a method, a device and a system for recommending content item positions, and belongs to the field of computers. The method comprises the steps that a first MIS receives state information, which is sent by a content item position information server, of content item positions, wherein the state information of the content item position is used for indicating content item positions which are located at an online state and an offline state at the current moment; the first MIS acquires a SIS (Slave Indexer Server) identifier managed by the first MIS; the first MIS sends the state information of the content item positions to an SIS indicated by the SIS identifier managed by the first MIS so as to be convenient for the SIS indicated by the SIS identifier managed by the first MIS to generate recommended content item position information after receiving a recommendation request sent by a service system and send the recommended content item position information to the service system. The method, the device and system disclosed by the invention solve a problem that recommended advertising positions are low in accuracy, and realize an effect of improving the accuracy of the recommended advertising positions. The method, the device and the system are applied to recommending content item positions.

A per user system include for a virtual desktop includes a server connected to multiple users, wherein each server hosts multiple application sessions accessible by the users. An indexer hosted on the server can be configured to analyze a file on the server to identify a user that owns the file without input from the application sessions and to save the file to a virtual hard disk (VHD) of the identified user. The VHD can be temporarily saved on the server. A communications device can be connected to the indexer, where the communication device can send the VHD of the identified user from the server to a storage device. A processor can be on a second server, where the processor can retrieve the VHD of the identified user from the storage device and temporarily save the VHD of the identified user on the second server.

The invention provides a large-scale two-dimensional and three-dimensional space data search engine based on a network. The large-scale two-dimensional and three-dimensional space data search engine structurally comprises a space indexer module, a space server module and an application program interface module. The spatial indexer module is used for establishing a spatial index record database. The space server module comprises a queue response processor and a solr search server module. The application program interface module comprises a query interface and a feedback interface. The output end of the spatial index record database and a query interface of the application program interface module are respectively connected with the solr search server module, and the output end of the solr search server module is connected with a feedback interface of the application program interface module and is output to the outside through the feedback interface. According to the method, modular design is adopted, data of different scales can be searched for conveniently, expansion is easy, the query speed of large-scale two-dimensional and three-dimensional space information is greatly increased, and the quality of a data source and the retrieval accuracy are remarkably improved.

A per user system include for a virtual desktop includes a server connected to multiple users, wherein each server hosts multiple application sessions accessible by the users. An indexer hosted on the server can be configured to analyze a file on the server to identify a user that owns the file without input from the application sessions and to save the file to a virtual hard disk (VHD) of the identified user. The VHD can be temporarily saved on the server. A communications device can be connected to the indexer, where the communication device can send the VHD of the identified user from the server to a storage device. A processor can be on a second server, where the processor can retrieve the VHD of the identified user from the storage device and temporarily save the VHD of the identified user on the second server.

The invention discloses a data index system based on webpage information data. The data index system comprises an indexer module, a network application program module and a solr search application server module. An index record database is established in the indexer module. The network application program module comprises a search module and a search feedback module. The solr search application server module comprises an XML response module, an XML update processor, a CSV update processor, a standard request processor, a client request processor, a lucene search application server and a management, update and function-searching function. An output end of the index record database and an output end of the search module are connected with the solr search application server module. An output end of the solr search application server module is connected with the search feedback module. The search feedback module is used for outputting a best data search result. The data index system based on webpage information data utilizes a modularized sign so that quality of data sources and search accuracy can be greatly improved.

The invention discloses a method for selecting parts and components of an RNGRU position marker based on a comprehensive gray relational sequence model. The method includes the following steps: Ⅰ. Construction of a comprehensive gray relational sequence model; Ⅱ. Alignment of the position marker based on the comprehensive gray relational sequence model Correlation analysis of assembly parameters is carried out to find out the key assembly parameters for the selection of gyro rotor and drift adjustment screw; Ⅲ. Construct the RNGRU selection prediction model, take the key assembly parameters as the input of RNGRU, and the quality of drift adjustment screw as the output, adjust The regression prediction of the quality of the drift screw, and the matching of the gyro rotor and the drift adjustment screw are completed. The method disclosed in the present invention realizes the precise matching of the gyro rotor and the drift adjustment screw, improves the success rate of assembly of the parts of the position marker, reduces invalid assembly, avoids repeated assembly, disassembly and adjustment, and effectively improves assembly efficiency and reduces assembly cost.

A per user system include for a virtual desktop includes a server connected to multiple users, wherein each server hosts multiple application sessions accessible by the users. An indexer hosted on the server can be configured to analyze a file on the server to identify a user that owns the file without input from the application sessions and to save the file to a virtual hard disk (VHD) of the identified user. The VHD can be temporarily saved on the server. A communications device can be connected to the indexer, where the communication device can send the VHD of the identified user from the server to a storage device. A processor can be on a second server, where the processor can retrieve the VHD of the identified user from the storage device and temporarily save the VHD of the identified user on the second server.

The invention relates to a serialization task completion method based on a memory consolidation mechanism and a GAN model. Compared with the prior art, the defect that a serialization task cannot be completed due to the fact that a model is forgotten in a multi-task scene is overcome. The method comprises the following steps: obtaining a serialized task; setting an indexer and generating a task index; performing task training by using a GAN model; performing joint training of pseudo samples; and completing the new serialization task. Through protection of important parameters and design of memory playback, a memory consolidation mechanism is applied to the GAN model, so that the GAN model has a multi-task processing capability, important information in sub-tasks can be reserved, non-important information is forgotten, and completion of serialized tasks is realized.

A system for autocompleting a general recommended word and an advertising recommended word, the system including: a first database configured to maintain an autocomplete general recommend word; a second database configured to maintain an autocomplete advertising recommended word; an autocomplete indexer component configured to index the autocomplete general recommended word and the autocomplete advertising recommended word; an autocomplete index database configured to classify and store the indexed autocomplete general recommended word and the autocomplete advertising recommended word; a web server configured to 1) receive an input query, and 2) transmit the input query to a predetermined query autocompletion server, and 3) receive the autocomplete general recommended word and the autocomplete advertising recommended word, and 4) display the autocomplete general recommended word and the autocomplete advertising recommended word; and the query autocompletion server is provided.