3668 results about "Retrieval result" patented technology

An improved human user computer interface system, wherein a user characteristic or set of characteristics, such as demographic profile or societal “role”, is employed to define a scope or domain of operation. The operation itself may be a database search, to interactively define a taxonomic context for the operation, a business negotiation, or other activity. After retrieval of results, a scoring or ranking may be applied according to user define criteria, which are, for example, commensurate with the relevance to the context, but may be, for example, by date, source, or other secondary criteria. A user profile is preferably stored in a computer accessible form, and may be used to provide a history of use, persistent customization, collaborative filtering and demographic information for the user. Advantageously, user privacy and anonymity is maintained by physical and algorithmic controls over access to the personal profiles, and releasing only aggregate data without personally identifying information or of small groups.

Methods and systems are provided to present the search results in response to a search query that is submitted to a document retrieval system, such as a search engine. The search results are presented with a second-retrieval model that constructs multiple derived queries for the search query with a first small-document retrieval process, and then generates and outputs the results based on the retrieval of search results of at least part of the derived queries. One embodiment of the invention provides a method for grouping the search results, which presents ranked derived queries together with their search results to the user, in such a way that derived queries with higher ranks and top-ranked documents of each derived query are preferentially presented, and the grouped results are displayed and navigated in independent framed subareas of an output window. A further embodiment selects the search results from multiple result lists of the derived queries to form the final search results for the user query, wherein the merged results are re-ranked according to pre-determined criteria. The method can also be integrated with the local keyword associated clustering method by rank value adjustment, or result filtering or merging to achieve better technical effects.

A search system and method are provided that uses taxonomies, entities, facets, and ontologies to provide a user with a more comprehensive set of search results in response to a query. The search system has an indexing engine that performs one or more indexing steps that permit the search engine to return a comprehensive set of search results. For example, the indexing engine may index a document according to a set of synsets so that the search engine may use the synsets, during retrieval of results to a query, to return a more comprehensive set of search results.

The basic concept of the method for requesting location related information of a mobile communication terminal device comprises an encoding of a location request. The location request contains information and commands for instructing a receiving location serving networked device to retrieve location related information accordingly and a transmitting of the encoded location request to the location serving networked device. The basic concept of the method for serving for serving location related information of a mobile communication terminal device comprises a receiving of a location request as defined above, a retrieving of the location related information in accordance with the location request, an encoding of a location response in accordance with the retrieval results and containing at least the retrieved location related information and transmitting of the encoded location response to the mobile communication terminal device. Devices performing these methods are shown.

A system and related techniques execute search queries against both remote Internet or other search services, as well as local or remote email stores. A user may access a search service Web site or other search interface, and enter search inputs or terms. That search input may be transmitted to a remote search service via the Internet or other network, as well as through access logic which communicates the same search inputs to the user's local or remote email store. Web sites as well as email messages or other content that matches the search input may be retrieved both from the remote search service as well as the email store, and presented to the user in combined or separate fashion. The access logic may manage the transmission of necessary authentication credentials to remote servers or otherwise to access and retrieve the email portion of the results. According to embodiments, email search results may be cached to improve access time and integration with results retrieved from the search service.

Embodiments of the invention provide methods, systems, and articles of manufacture for executing a query against a partitioned database. The query may be executed against each partition of the database to retrieve results from each partition. The results from the partitions may be integrated to provide the results of the query. Each partition may take different amounts of time to retrieve results for the query. Embodiments of the invention allow reallocation of resources to logical partitions of a system executing the query based on the relative execution times of the query for the various database partitions.

The invention discloses a mapping knowledge domain questioning and answering system and method based on a template matching technique. The system comprises an offline module and an online module, wherein the offline module is mainly used for offline data preparation, and the online module is mainly used for system service. The system can support a friendly natural language question of a user to serve as a query, grammatical analysis is conducted on the question of the user, an offline-defined manual template library is searched for a matched question template according to a result obtained through grammatical analysis, a final structurized mapping knowledge domain query statement is generated according to an entity matching method and a relation matching method, retrieving is conducted in a mapping knowledge domain according to the structurized query statement, and then a final result is returned. According to the mapping knowledge domain questioning and answering system and method based on the template matching technique, the precise retrieving result can be given for the question of the user, and the searching satisfaction degree of the user is improved.

In an image retrieving and delivering system and an image retrieving and delivering method, a feature descriptor is retrieved from a data base, in which each of a plurality of images including a moving picture and a static picture is registered with a feature descriptor describing the feature of the image, according to a retrieval condition input by a user, a retrieval result satisfying the retrieval condition is obtained, and the retrieval result is edited and processed according to a delivery condition obtained from a user terminal in which the retrieval result is to be received.

A system retrieves structured documents based on first desired concept item having first concept items classified hierarchically and subordinated to first desired concept item, second desired concept item having second concept items classified hierarchically and subordinated to second desired concept item, generates a table displaying retrieval results, and associates groups of desired component, one of first items classified as first concept items immediately lower than first desired concept item, and desired second concept item with column index cells of table respectively. When a display area where one of the column index cells is displayed is designated, the system acquire the groups associated with the designated area, and retrieves, based on the acquired group, structured documents each including the desired component including a value in which one of the first concept items subordinated to the one of the first item and one of the second concept items are included.

Methods and apparatuses for performing dynamic Web-based market analysis are disclosed. A Web server presents a Web page including content to a user, via a browser located at the user's computer or workstation. The content in the Web page may be provided by third party entities that pay predetermined fees to have the Web server render their content in a Web page. While the user views the site, detailed user activities associated with the content, including in-view activities associated with viewable content in the Web page, are collected in a client side data store. After a trigger event occurs, such as the client side data store fills up, the collected data is sent back to the Web server where its is stored in a server side data store. An analytical program executed by the Web server retrieves the collected response data from the data store and performs market analysis on the collected response data. The analytical program produces results associated with the effectiveness of the content included the Web page. A middleware program, executing in the Web server, retrieves the result data and produces billing records, that may also include content effectiveness reports, and sends the billing records to respective third party entities that supplied the content for billing and marketing purposes.

A Web regional information retrieval apparatus 10 retrieves a Web page which is information in the Worldwide Web (WWW), and includes a collecting unit 11, a regional meta-data extraction unit 12, and a region information retrieval unit 14. The collecting unit 11 collects a Web page from the WWW. The regional meta-data extraction unit 12 extracts regional meta-data indicating the region relating to the collected Web page, and assigns the data to the Web page. The region information retrieval unit 14 receives location information indicating the location of the terminal 20 from the terminal 20, retrieves a Web page assigned the regional meta-data related to the location information from the WWW, and transmits the retrieval result to the terminal 20.

The invention discloses a method for synthetically searching structurized data and non-structurized data, which comprises the following steps: a database for storing the structurized data is enlarged, different types of documents with the non-structurized data are processed in a filtering manner, the corresponding interface processing types are realized according to the document suffixes, the corresponding configuration is finished, the type of document is analyzed, and the index is established, so that the inquiry of the type of document is realized; and the searching of the database and the documents is performed according to key words, and the searching results are displayed. By adopting the method, whatever the searching source is an ordinary database for storing the structurized data or an FTP for storing the non-structurized documents, the searching results can be intuitively and accurately revealed to users.

The invention discloses a multi-feature fusion vehicle re-identification method based on deep learning. The method comprises five parts of model training, license plate identification, vehicle identification, similarity measurement and visualization. The method comprises the steps that a large-scale vehicle data set is used for model training, and a multi-loss function-phased joint training policyis used for training; license plate identification is carried out on each vehicle image, and a license plate identification feature vector is generated according to the license plate recognition condition; a trained model is used to extract the vehicle descriptive features and vehicle attribute features of an image to be analyzed and an image in a query library, and the vehicle descriptive features and the license plate identification vector are combined with the unique re-identification feature vector of each vehicle image; in the stage of similarity measurement, similarity measurement is carried out on the image to be analyzed and the re-identification feature vector of the image in the query library; and a search result which meets requirements is locked and visualized.

The invention discloses an automatic question answering method and a system thereof. The automatic question answering method comprises the following steps: step A, the information of a question is acquired through the analysis of the question; step B, the query criterion is generated according to the analysis results of the question for retrieval by using the search engine in knowledge source, thus searching out the file collection relating to the query criterion; the file collection is divided into paragraph collections; step C, paragraph collections relating to the query criterion are retrieved in a centralized way from the paragraphs by using the paragraph retrieval method according to the file retrieval results; and the answer of the question is returned from the paragraph collections. The automatic question answering method and the system improve the accuracy of answers and the precision of returning correct results.

An intelligent video retrieval system and method based on target characteristic and alarm behavior relate to an intelligent video retrieval system and method. The system comprises a trajectory tracking module, a feature extraction module, a feature storage module, a search engine module and a retrieval terminal, wherein the trajectory tracking module extracts the motion trajectory and alarm behavior of a target input in the video; the feature extraction module extracts the features of the input image such as color, texture, shape and category; the feature storage module stores the motion trajectory, the alarm behavior, the target characteristic and the related information of the video in a feature database; the search engine module analyzes the retrieval conditions input by a user, performs video retrieval based on characteristic and behavior in the database and returns the video clip satisfying the conditions; and the retrieval terminal, namely client software receives the retrieval conditions input by the user and displays the retrieval result after retrieval. Compared with the prior art, by using the retrieval system, the user can customize retrieval conditions more accurately, video retrieval based on target characteristic and alarm behavior can be performed; and the retrieval result of the features generated by real-time analysis can be fast obtained.

A method and system for retrieving information from a set of documents using one retrieval keyword or more is capable of remarkably increasing the relevance ratio of a retrieval result. The system includes a category dictionary for storing category information containing morphemes included in the documents in a hierarchical structure, a morpheme-ID array produced by converting the set of documents into a set of fixed-length IDs in accordance with the morphemes while maintaining order information of the morphemes, and a retrieval part for retrieving a morpheme ID from the morpheme-ID array. The retrieval part retrieves a morpheme ID of the retrieval word and of any morpheme co-occurring with the retrieval word and having category information which matches retrieval-category information.

Named entity recognition is described, for example, to detect an instance of a named entity in a web page and classify the named entity as being an organization or other predefined class. In various examples, named entity recognition results are used to augment text from which the named entity was recognized; the augmentation may comprise information retrieval results about the named entity mention. In various embodiments, labeled training sentences in many different languages and for many different classes, are obtained to train machine learning components of a multi-lingual, multi-class, named entity recognition system. In examples, labeled training sentences are obtained from at least two sources, a first source using a multi-lingual or monolingual corpus of inter-linked documents and a second source using machine translation training data. In examples, labeled training sentences from the two sources are selectively sampled for training the named entity recognition system.

The invention provides a mobile terminal based smart question answering interaction system which comprises an input module, a denoising module, a semantic parsing module, an information processing module and an output module. The invention further provides a mobile terminal based smart question answering interaction method which comprises the steps of inputting user question information and acquiring user parameter information; converting the user question information and the user parameter information into standard text format information; carrying out denoising and modularizing processing on the text format information; carrying out semantic parsing on the user question information; carrying out verification, initial encapsulation and data processing on parsed information so as to generate initial result data; and carrying out secondary encapsulating and formatting on the initial result data, allocating processed results to a calling server and outputting retrieval results. According to the system and the method, the recognition accuracy and answer correctness are improved, and the content personalization and system practicality are enhanced.

The invention discloses a satellite-borne remote sensor radiation calibration method based on atmospheric parameter remote sensing retrieval. The method includes nine steps. A surface reflectance is obtained through ground synchronous actual measurement during satellite crossing or historical data, imaging time and observation geometry parameters are obtained through remote sensing data head files, atmospheric parameters during imaging of synchronous crossing meteorological satellite sensors or related load retrieval remote sensors are utilized, the entrance pupil radiance of the remote sensors is calculated by an atmospheric radiation transmission model according to retrieval results of the atmospheric parameters, a calibration coefficient is calculated through a radiation calibration model, and thereby the on-orbit radiation calibration for a satellite-borne remote sensor is achieved. The satellite-borne remote sensor radiation calibration method based on the atmospheric parameter remote sensing retrieval is a pixel-level calibration method and has the advantages that the accuracy is high, the costs are low, simultaneously, the high frequency calibration can be achieved, historical remote sensing data can be calibrated, and the method has a wide application prospect to remote sensing data processing methods and application technical fields.

The invention belongs to internet massage processing field, characterized in that: common inquiry set which is cared by user, according to one ore more search engine logs, is screened out firstly using the inquiry of corresponding information of user number; then calculating user touching ratio corresponding to user touching page of inquiry in common inquiry set, if multi-search engine logs is used, user touching ratio are united; user touching pages are effectively screened out based on user touching ratio, the ralated inquiry and corresponding result page address are stored related database; at last, the result from user information and the result by searching by search engine are united effectively when user puts in the demand of inquiry, and are reordered to return to user. The method has the advantage that computer is completed automatically and efficiently submits search engine performance in real time and objectively.

The invention relates to the field of heterogeneous information retrieval, in particular to an intelligent retrieval and analyzing method based on domain ontology and information mining and a visual analyzing system comprising the method. The system mainly comprises a field data acquisition subsystem, a corpus resource processing subsystem, an information mining subsystem and a visual analyzing subsystem, wherein the field data acquisition subsystem is used for acquiring data by network capturing and local uploading, the field data acquisition subsystem is used for pre-processing field related data, the field data acquisition subsystem is used for analyzing and mining related information in corpus, and the visual analyzing subsystem is used for dynamically displaying and counting and analyzing retrieval results. Concepts in a domain ontology base and mutual relations of the concepts are fully used by the system for heterogeneous information mining and visual analysis, requirements of users can be correctly understood to automatically cluster hierarchical structural information of a certain field so as to support the users to inquire key words, phrases and simple sentences and optimize retrieval results, relevant concepts and extension concepts can be found by ontological reasoning to support graphic display preview of each information meaning in the inquiry results, and the professional-field information retrieval performance can be remarkably improved to realize dynamic information display.

The invention belongs to the field of multimedia information retrieval and relates to a method for realizing thesaurus-based query expansion and sort in image retrieval. The method comprises a WordNet-based English word semantic similarity metric algorithm, a HowNet-based Chinese word semantic similarity metric algorithm, an expansion rule-based query expansion word selection and optimization algorithm and a retrieval result evaluation and optimization algorithm. In the method, an image search engine is improved by the relevant text processing method and the relevant semantic network dictionary; and the retrieval result is sorted through semantic expansion, user interaction and improved similarity measurement. Compared with the traditional method, the method has the advantages of high accuracy rate, high integrality and low space-time cost. The method has very important significance for performing high-efficiency image retrieval according to image high-layer semantic information and on the basis of a large-scale image data set, and has wide application value in the field of cross-linguistic and cross-media retrieval.

The invention discloses a big data development standardized systematic classification and command set system. The system comprises a data acquisition module which acquires data in a relational database and a local file and stores the data in a big data platform, a data processing module which cleans the data in the big data platform to be in a defined format according to a user demand and performs statistics and analysis, a data source and SQL engine module which imports and exports the data among the relational database, the local file and the big data platform and is connected to an NOSQL database, a machine learning algorithm module which analyzes correlation among the data in the big data platform, classifies the data and analyzes a new data relationship according to existing correlation among the data, a natural language processing module which processes a natural language in the data of the big data platform, and a search engine module which provides a data retrieval service according to a user request and displays a retrieval result to a user, wherein the natural language processing comprises the execution of article abstracting.

The invention belongs to the technical field of multimedia information retrieval, and specifically discloses a deep learning-based freehand sketch image retrieval method. According to the method, and edge contour detection technology and a non-maximum value suppression technology are utilized to realize the conversion from colored images to similar sketch images, a deep learning technology is utilized to construct distinguishing feature expressions for querying deep features of sketches and similar sketches, the deep features fuse the high-level semantic features and low-level visual features of images, and the deep features are more distinguishing in sketch retrieval. Through deeply mining visual information of a first retrieval result, uncorrelated images placed at the front in the retrieval result are rejected and a more correlated result is returned to the users. The method is high in correctness and strong in adaptability. On the basis of large-scale image data, the method is significant in carrying out efficient image retrieval which considers semantic information of sketches, so that the influences of fuzziness of freehand sketches can be decreased, the retrieval correlation can be improved and the user experience can be enhanced; and the method has an extensive application value in the field of multimedia image retrieval.