713results about How to "Improve search capabilities" patented technology

A computer-based information search and retrieval system and method for retrieving textual digital objects that makes full use of the projections of the documents onto both the reduced document space characterized by the singular value decomposition-based latent semantic structure and its orthogonal space. The resulting system and method has increased robustness, improving the instability of the traditional keyword search engine due to synonymy and / or polysemy of a natural language, and therefore is particularly suitable for web document searching over a distributed computer network such as the Internet.

A video surveillance system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

A computer network search engine is disclosed in which search results are analyzed to identify one or more themes, and individual results are clustered according to one or more of the themes. In one aspect the user may be presented with a graphical representation of one or more cluster of results. In another aspect the search results are presented in the cluster according to a ranked list, and wherein the ranked list may be modified according to attributes of a selected search result and / or dynamically altered according to observations of the user examining the results.

A method for verifying specific profile, legal, and social preference data responses for generating a selectively approved membership database. Membership security is completed with a biometric security authentication of each member upon member logon. A media player is used for recording and delivering video on demand; live video broadcast communications, and video / audio relational database management as well as searching the database for Digital video and audio content defined by indexed unique hint track data. Live video conferencing is available utilizing bandwidth scheduling methods for quality video control and creating audit logs for member accountability and content control.

A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

A method and apparatus are provided for building a searchable multi-dimensional index tree that indexes a plurality of data objects. In one aspect of the invention, the index tree divides dataspace into three subspaces and indexes the data objects using a single dimension. If too many data objects map to the same point in that dimension, the dimension is switched to a new dimension of the data object and the data object is indexed using the new dimension. A split node having a split value is used to keep track of the indexing. In another aspect of the invention, the index tree divides dataspace into two subspaces, and equal bits are used in the split nodes to track the content of the data objects in the subspaces. If too many data objects sharing the same key within the same dimension map to a single point, then the dimension is switched to a new dimension and the data objects are indexed using the new dimension. Also disclosed is the multi-dimensional index tree itself as well as a router that uses the multi-dimensional index tree of the present invention to provide packet classification functions.

A video surveillance system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

Disclosed is a system, method, and program for determining boundaries in a string of characters using a dictionary, wherein the substrings in the dictionary may comprise words. A determination is made of all possible initial substrings of the string in the dictionary. One initial substring is selected such that all the characters following the initial substring can be divided into at least one substring in the dictionary. The boundaries follow each of the initial substring and the at least one substring that includes all the characters following the initial substring.

A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

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.

Most information retrieval systems start with a user's explicit query. Systems and methods are provided that perform implicit or background queries to one or more information sources based on the ongoing activities of users. The methods provide users with the results of such automated contextualized searches in an unobtrusive manner. In one aspect, implicit queries are run when users are reading, working on or composing an application. Queries can be automatically generated by analyzing an application, and results can be presented in a variety of peripheral display configurations, including a small pane adjacent to a current window to provide peripheral awareness of related information that is automatically determined from existing user context and / or related content from the application. The invention includes methods for building models that predict the value of different queries, and of the results generated by such queries, based on logged data, and for using such models to control query formulation and to mediate decisions about displaying the results of implicit queries.

The present invention relates to a system and methodology to facilitate extraction of information from a large unstructured corpora such as from the World Wide Web and / or other unstructured sources. Information in the form of answers to questions can be automatically composed from such sources via probabilistic models and cost-benefit analyses to guide resource-intensive information-extraction procedures employed by a knowledge-based question answering system. The analyses can leverage predictions of the ultimate quality of answers generated by the system provided by Bayesian or other statistical models. Such predictions, when coupled with a utility model can provide the system with the ability to make decisions about the number of queries issued to a search engine (or engines), given the cost of queries and the expected value of query results in refining an ultimate answer. Given a preference model, information extraction actions can be taken with the highest expected utility. In this manner, the accuracy of answers to questions can be balanced with the cost of information extraction and analysis to compose the answers.

The invention discloses a semantic query expansion method based on domain knowledge, which comprises the following steps: taking concept expression and a knowledge tree system as the basis to construct the domain knowledge; performing primary semantic analysis on query phases input by users to form a semantic item list; utilizing results of the primary semantic analysis and taking the domain knowledge as the basis to construct a semantic map with expansion types and expansion weights; respectively computing semantic distances between each vertex and an initial vertex in the semantic map; determining an expandable item of each item in the semantic item list according to the semantic distances; and finally, combining all expandable items according to AND / OR logic relations to obtain a semantic item set representing the query intension of the users, and submitting the semantic item set to a searching system for searching. In the semantic query expansion method based on the domain knowledge, the computing time is short, the domain knowledge is fully utilized, and newly-added expanded semantic items and the original query phases have definite semantic relations, and the recall ratio and the precision ratio of the searching system can be improved effectively.

A method and system for providing a network-based photosharing service is disclosed. The photosharing service includes a central photosharing site having a server, and a plurality of peer nodes each containing digital images. The method and system include associating metadata with each image that is to be shared. The images are shared by uploading the metadata associated with each image from the peer nodes to the peer server, while maintaining storage of the images on the respective peer nodes. In response to the peer server receiving search criteria based on the metadata submitted from a first one of the peer nodes, the peer server returns a list of image locators for images matching the search criteria to the first peer node. The method and system further include dynamically generating on the first peer node an image album that contains at least a portion of the matching images.

A system for verifying, authenticating, and processing membership information to generate a selectively approved searchable membership database, viewable through a computer information network, such as the internet. membership verification includes a first processing unit (200) for transmitting data native biometric data to a second processing unit (204) for artificial rendering by a lab processing module (300) stores settings in a database (301). Artificially rendered biometric data is used for reference physical configuration of a first processor biometric capture device (301) Artificially rendered biometric data is used to reference the identity of a native capture device source (301) Artificial rendered biometric data is used in a pass code configuration to activate a biometric capture device (301). A custom user biometric data reference module is used for member users to create a custom biometric data reference database (303). A controlled biometric capture device by second processor is used with the custom biometric data reference database to provide multiple security encryption form identification and verification of a member user.

A search system analyzes a user's search requests and identifies prior semantically-similar search requests that have provided well-received results. Each search request is classified, based on the semantics of the search request, and the user's satisfaction with the effectiveness of the search request is monitored and recorded within the determined class (or set of classes). As a particular user's search session continues, the classification of the user's search request is also used to identify other searches in the determined class, and the user is provided the option of modifying or replacing the user's current request with one of these semantically similar searches. The system may also be configured to identify the most favored results provided by these semantically similar searches, and allow the user to select from among these results. The system may also provide incremental updates over time, as new results or new semantically-similar search requests are found.

A method for searching an information repository to find answers to natural language questions by generating an expected answer form based upon the form of the natural language question or query, searching for an answer meeting the specification of the expected answer form, and rendering an answer to a user.

Disclosed is transmitting / receiving apparatus and method for efficient cell search in a broadband wireless communication system using multiple carriers. The apparatus includes a BS generating an SCH signal by mapping predetermined symbols to predetermined subcarriers according to a code group to which the BS belongs, code-multiplexing a TCH signal and a pilot channel signal mapped to a predetermined time-frequency area and scrambling the code-multiplexed signal with a predetermined scrambling code identifying the BS along a time axis first, time-multiplexing the SCH signal with the scrambled signal, OFDM-modulating the time-multiplexed signal, and transmitting the OFDM-modulated signal.

A system facilitates a search by a user. The system detects selection of one or more words in a document currently accessed by the user, generates a search query using the selected word(s), and retrieves a document based on the search query. When the document includes one or more links corresponding to a linked document, the system analyzes each of the links, prefetches the linked documents corresponding to a number of the links, and presents the document to the user. The system receives selection of one of the links and retrieves the linked document corresponding to the selected link. The system identifies one or more pieces of information in the retrieved document, determines a link to a related document for each of the identified pieces of information, and provides the determined links with the related document to the user.

A video surveillance system is set up, calibrated, tasked, and operated. The system extracts video primitives and extracts event occurrences from the video primitives using event discriminators. The system can undertake a response, such as an alarm, based on extracted event occurrences.

The invention discloses a group protein structure prediction method based on Rosetta local reinforcement. The prediction method includes the steps: firstly, dividing searching processes of a whole algorithm in structure prediction into four stages, setting fragment length for each stage, assembling fragments, and selecting different energy functions to measure weight of conformation individuals; secondly, generating testing conformations by the aid of different mutation strategies and loop area information based on secondary structure information, randomly exchanging the loop area information to achieve cross processes, keeping population diversities, and executing Rosetta local reinforcement for testing conformations and target conformations of the stages; finally, extracting characteristic vectors of the conformations to measure diversities of the conformation individuals, taking the energy functions as main measurement indexes, taking the diversities as auxiliary measurement indexes, and guiding conformation groups to update. The prediction method is high in searching capability and high in prediction accuracy, and group diversities can be kept by energy.

The invention relates to the technical field of human-computer interaction, and discloses a voice answering method for combining intelligent answer with artificial answer. The voice answering method provided by the invention has a core thought that a voice identification algorithm is firstly used for converting problem voice information into problem text information; then, the problem text information is subjected to sentence segmentation processing to obtain a user interrogative sentence; and finally, on the basis of an interrogative sentence similarity, whether a standard interrogative sentence which is most similar to the user interrogative sentence and corresponding answering information are found in a QA library or a manual service desk is accessed to obtain answering information is determined. Therefore, voice answering can be realized so as to bring convenience for users to input problem information, and questioning and answering efficiency and user experience are improved. Meanwhile, when a proper answer can not be found in the QA library, manual answer can be switched to, and the doubts of users can be solved in time.

Provided is a multi-target route planning device and method considering searching robot target node timeliness. A multi-target genetic algorithm is used to achieve route planning considering two optimization objectives including route consumption and the node timeliness through two stages of decoupling which comprise the route planning and route generating, and therefore improvement of searching performance of a mobile robot which is supervised by an operator is benefited. Particularly, when the problem of the node timeliness needs to be considered in the process of route searching, a good searching manifestation can be obtained.

The invention discloses a keyword extracting method based on Word2Vec and a Query log, and relates to the field of information processing. The method includes the steps of S1, building a specific word list of a target field; S2, obtaining candidate keywords of documents in a document set; S3, obtaining word vectors of a plurality of dimensions of each candidate keyword; S4, calculating the cosine similarities between the word vectors of any candidate keyword L and a center vector, judging whether the candidate keyword L exists in the specific word list or not, if the candidate keyword L exists in the specific word list, directly implementing the step S5, and if the candidate keyword L does not exist in the specific word list, directly implementing the step S6; S5, multiplying the obtained cosine similarities by a weighting factor i to obtain new cosine similarities, and implementing the step S6; S6, ranking the values of the cosine similarities from large to small, outputting the values of m cosine similarities from the cosine similarity with the largest value, and obtaining final keywords. By means of the keyword extracting method, the keywords with the ideal quality can be rapidly and efficiently extracted for texts in specific fields, oral words are prevented from being introduced, and the extracted keywords are high in quality.

The invention provides a structured data searching method and a structured data searching device. The method comprises the following steps of: A, receiving a searching request with structured data searching needs, resolving a uniform resource identifier (URI) in the searching request, and determining a strategy package corresponding to the URI; B, acquiring searching result set corresponding to the searching request from structured databases corresponding to each piece of service attribute information according to the service attribute information in the strategy package; C, if the searching result sets are acquired from more than one structured database in the step B, merging the acquired searching result sets according to a result merging mechanism in the strategy package; and D, providing the merged searching result set for a user. By the method and the device, structured data searching effects can be bettered, and the user can acquire required information more conveniently.

The invention discloses an edge computing task allocation method based on deep Monte Carlo tree search, and aims to support optimization of resource allocation by an edge server. And the edge server takes the state of a mobile edge computing system as input, the edge server resource scheduling module outputs an optimal resource allocation scheme through a deep reinforcement learning algorithm, andthe mobile equipment terminal unloads the task according to the optimal resource allocation scheme and executes the task together with the edge server. The deep reinforcement learning algorithm is completed by mutual cooperation of DNN, MCTS and LSTM, and compared with greedy search and DQN algorithms, the algorithm provided by the invention is greatly improved in the aspects of optimizing service time delay and optimizing service energy consumption of the mobile terminal.