98results about How to "Reduce search costs" patented technology

A system and method for encryption, transmission and decryption of data based on a publicly or other wide area broadcast random number sequence. Encryption is by a selected subsequence from the broadcast random number sequence, the selection being at a sample time relative to a synchronization event, with the sample time calculated based on a private key. Decryption uses the same private key to select the same subsequence from the broadcast random number sequence, as detection by the sender and receiver of the synchronization event and a sampling time based on a commonly known private key allows the sampling to be synchronous. Alternative embodiments employ trusted agents if the tender and receiver do not have a common private key.

A technique for improving the execution speed of a computer system by effectively reducing the costs to perform a search operation for an exception handler during the exception handling process is established. A computer system comprises 1) a compiler for compiling a program written in a programming language having an exception handling mechanism and 2) an execution unit for executing the compiled program. The execution unit calculates an occurrence frequency of an execution context in which a search operation for an exception handler is performed for execution handling, and determines the execution context to be optimized based on the frequency data. The compiler determines the exception handler for handling an exception that occurs in the above execution context, and generate a code describing a process path from a point that throw the exception in said execution context to the exception handler. Specifically, the compiler deletes the code that throws the exception, and generates a code that branches to the corresponding exception handler.

The invention discloses a method and device for searching a Markov movement target by using an unmanned aerial vehicle. The method comprises the following steps: after receiving a searching task, acquiring all possible states and probability distribution thereof in a movement process of the Markov movement target and in a searching process of the unmanned aerial vehicle; constructing a Markov model for predicting behaviors of the unmanned aerial vehicle under the searching task, establishing a multi-stage heuristic strategy iteration algorithm based on a Markov decision; and acquiring a searching behavior strategy with the highest benefit, and planing the optimal searching flight path of the unmanned aerial vehicle. The shortcomings that a traditional searching algorithm is lack of severemathematical definition on the movement law of the searched target to cause high searching cost is overcome, the virtual target position which is about to be searched by the unmanned aerial vehicle ata next time is determined according to the current flight state of the unmanned aerial vehicle and the existing probability distribution of the Markov movement target in a searching region at the moment, the searching behavior strategy with the highest benefit is obtained, and can be used for searching the movement target, and the target can be searched successively by the low searching cost.

The invention provides a map searching method and system. The map searching method includes searching nationwide according to query inputted by users when the query inputted by the users fails to call back search results in current cities or the callback search results are dissatisfied with the preset conditions; when the search results are judged to be dissatisfied with the condition of uniformity in nationwide distribution, judging whether the cities corresponding to the search results is met with the preset skip condition or not according to matching degree of POI data of the search results and the pre-generated query; if yes, switching the current city to the city meeting the skip condition, and providing the search results of the query of the cities meeting the skip condition. According to the technical scheme, searching cost of map searching applications is reduced while searching efficiency is improved.

The invention discloses a visualized formula editor which comprises a formula resource management module, a formula edition module and a formula operation module, wherein the formula resource management module is used for managing system data required to be used in formula edition; the formula edition module is used for accessing the system data from the formula resource management module and performing formula edition on the accessed system data; and the formula operation module is used for executing overall operation on edited formula. The visualized formula editor is suitable for a current enterprise office information system, correlation factors in the formula are configured to be accessed from the information system, and manual data search cost and influence on data authenticity are reduced; the formula provides storage and loading of status data, that is, the formula editor provides functions of storage of the current edited formula and loading of next time opening; the formula editor further provides a calculation function, and when the formula editor sets the formula and assigns correlated variable factors, the formula editor can calculate the result of the current formula; and the formula editor further provides a translation function, so that the application range of the formula editor is broadened.

The embodiment of the invention discloses an information searching method and device. The method comprises the following steps that: receiving a search request which comprises a search keyword; according to the search keyword, searching application contents related to the search keyword, wherein the application contents comprise application information and / or application content information; obtaining a grading result which represents the information popular degree of the application contents, wherein the grading result can be used for representing the information popular degree in the application; and according to the grading result, selecting the application contents which respond to the search request, and returning the application contents to a client side.

The invention provides a method and a system for recommending a search phrase. The method comprises the following steps: acquiring search information of a user; extracting a keyword of the acquired search information; acquiring a to-be-recommended search phrase according to the extracted keyword; showing the acquired to-be-recommended search phrase to the user. The method provided by the invention can be used for recommending the search phrase to the user according to the search information of the user, so that the user can conveniently acquire the content related to the possible interest point, the search cost is lowered and the user experience is increased. Meanwhile, the recommended search phrase can be served as a flow inlet and more flows can be introduced to the search.

This method includes that: collects all computer logs logging into the discuss section (DS), combines them into a chief log, draws info from the chief log, generates the business set, via frequent item set (FIS) mining algorithm, selects FIS of DS, draws the related DS of each DS from FIS of DS, generates related DS list, then finishes. This invention utilizes the data mining method to find out the related DS of this DS. The related DS presents the behavior of the DS user. This will be convenient for the user's next accessing and will reduce lookup cost. A selection device of related DS in the network community is disclosed as well.

The invention provides a laboratory equipment management system, which runs in a resource control server, wherein the server is connected with at least one personal computer through a network and connected with at least one laboratory through an internal network. The at least one personal computer provides an operating interface, and a user can reserve the use time of equipment in the resource control server through the operating interface and search position information and use conditions of the equipment through the resource control server. The invention also provides a laboratory equipment management method. The system and the method can guide the user to quickly find the equipment through a positioning function, reduce idle equipment and invisible search cost, and effectively record the use conditions of the equipment.

An embodiment of the invention discloses an information search method and device in a network community. The information search method includes: receiving an inquired word and determining relevance between the inquired word and each data type according to the characteristics of each data type of network community internal data; determining the data type covered by the information search scope according to the relevance; searching the network community internal data corresponding to each data type within the information search scope according to the inquired word, obtaining search results corresponding to each data type within the information search scope, and outputting the search results, wherein the data type is obtained by dividing the network community internal data according to the relation between the network community internal data and the search scope of user intention search in advance. By the information search method, alternative cost of a user upon the search results can be lowered.

The invention aims at providing a method and a device for carrying out expansion processing on a query sequence. The method comprises the following steps of: obtaining the query sequence of a user by an expansion processing device; detecting whether an expansion trigger condition for carrying out the expansion processing on the query sequence is met; and if the expansion trigger condition is met, carrying out the expansion processing on the query sequence to obtain an expansion sequence corresponding to the query sequence. Compared with the prior art, by utilizing the method and the device, a desired search result can be fast obtained without need of inputting or changing the query sequence repeatedly by the user, the working running cost of a network search device such as a research engine server and the research cost of the user are reduced, and the research accuracy and the research experience of the user are greatly improved on the basis. By utilizing the method and the device, researching can be carried out on the base of the original query sequence and the expansion sequence, the full integrity of the research result is ensured simultaneously when the expansion research result is provided for the user.

The invention discloses a search method and a search engine. The search method includes that the search engine acquires search terms; the search engine confirms a search result and at least one level of demand dimension corresponding to the search terms according to the search terms and provides the search result and the at least one level of demand dimension on a search result page; the search engine acquires operation behavior of a user for the at least one level of demand dimension and updates the search result and at least one level of demand dimension on the search result page according to the demand dimension corresponding to the operation behavior of the user. By means of the search method, the user can locate the needed search terms and the corresponding search result according to different demand dimensions.

The invention discloses an encyclopedic knowledge system related to geographical position information, which is used for solving the technical problems that an existing encyclopedic knowledge system cannot provide related functions between the geographical position information and encyclopedic knowledge and cannot provide knowledge query based on the geographical position information. The incidence relations between the geographical position information and encyclopedic entries are stored in a position-related database of a server, a related interface between the geographical position information and the encyclopedic entries is provided, the related request between the geographical position information and the encyclopedic entries is launched through the related interface, and the incidence relations are stored in the position-related database. The encyclopedic knowledge system further provides an encyclopedic knowledge query interface based on the geographical position information, and the query request for querying the encyclopedic entries related to the assigned geographical position information is launched and query results are obtained through the query interface. The encyclopedic knowledge system enables users to conveniently acquire all kinds of encyclopedic knowledge around themselves or specific positions, and content which cannot be retrieved through a traditional subject classification and keyword search can be obtained easily.

The invention provides a robot plume tracking method based on continuous state behavioral domain intensive learning, which belongs to the field of underwater robot path planning. The robot plume tracking method is used for training an underwater robot in path planning for plume hydrothermal vent searching; the robot generates a state vector in every plume tracking and inputs the state vector intoa current decision-making neural network, the decision-making neural network outputs an advancing direction of the robot at the moment, and the robot updates a state vector at a new moment and judgeswhether the single-time plume tracking satisfies a termination condition after operating at a constant speed for a time period; when the termination condition is satisfied, the single-time plume tracking is finished, and the robot regenerates a new initial position; if the termination condition is not satisfied, the robot advances continuously at a next moment; and during the process, an intensivelearning algorithm is used for updating the decision-making neural network at each moment until the algorithm converges. The robot plume tracking method based on continuous state behavioral domain intensive learning has the advantages of fast learning speed and good convergence, can improve the flexibility of the robot tracking a plume hydrothermal vent, and reduces the searching cost.

The invention discloses a fire escape method and system based on a LoRa. The method comprises the following steps: a fire detection device sending fire information to a LoRa gateway device by using aLoRa protocol when the fire is detected; the LoRa gateway device sending received real-time data information of the fire to a LoRa server; the LoRa server constructing an optimal escape route according to the real-time data information of the fire and ID information of the fire detection device; and presenting the optimal escape route to an escape person through an escape sign disposed in a fire passage. The fire information comprises the real-time data information of the fire and the ID information of the fire detection device. According to the fire escape method and the system based on the LoRa, the escape efficiency and success rate of the escape person is improved, and the search cost is reduced.

The invention discloses a method for realizing the category searching. The method comprises the following steps that: A. a terminal sends out a searching request to a server, and the searching request contains a searching mark, which is used to indicate a searching condition; B. the server searches out data records which contain the mark in the category according to the searching mark; C. the server judges whether the ratio between the data records which contain the searching mark in the category and the data records which contain the searching mark reaches the set value, if yes, the page information of the data records which contain the searching mark in the category are sent out to the terminal. Through the invention, the searching time of a user is reduced, the searching cost is lower, the resource waste during the searching process is reduced, and the user feeling is better. At the same time, the invention also discloses a system for realizing the category searching.

The invention provides a method and a device for recommending input association based on historical search of a user. The method includes the steps: receiving search terms inputted by the user; acquiring a preset input association candidate set; acquiring hit historical search terms of the user if analyzing that parts or all of keywords of the current search terms hit historical search terms of the user in the input association candidate set; recommending the input association according to the acquired historical search terms of the user. The efficiency of the method for recommending the inputassociation based on historical search of the user is improved. The user can accurately think of proper search terms to express search intention without manually rewriting the search terms for searchagain, and accuracy of the personalized input association recommendation method can be improved. By the aid of an existing input association model, the search cost of the user can be reduced, the user can be helped to rapidly and conveniently find out search results, the deriving effect of a whole search box can be improved, and search experience is further improved.

The invention discloses a method and a system for automatically adding internal links. The method comprises the following steps of: performing word cutting on received entry information to acquire a keyword; fetching a vocabulary to which an internal link is to be added from the keyword according to a preset fetching strategy; and automatically adding the internal link to the vocabulary to which the internal link is to be added. Through an automatic addition strategy of the system, labor input is reduced, and the internal link number and accuracy of encyclopedia entries are greatly improved while the internal links of the encyclopedia entries are enriched to a certain extent; for a browse user, a large quantity of time and experiences are not required to be spent to retrieve and search related difficult terms, the extended reading experience is improved, and search cost is reduced; for an edit user, labor cost generated by adding the internal links to related entries is saved, the subjective randomness of manually adding the internal links is avoided, and the pertinence and effectiveness of the internal links are improved; and for a management team, cost generated by manually auditing edit versions of the added internal links is greatly reduced.

The invention provides a user identity-based input association recommendation method. The method comprises the steps of identifying a user identity according to a search scene of a user, and trackinga search behavior log corresponding to the user identity; adding the search behavior log to an existing input association candidate model, and generating input association candidate word banks after fusion; receiving a search query input by the user, and sorting the input association candidate word banks after fusion in combination with the search query; and recommending the sorted input association candidate word banks as a recommendation result of the search query. Therefore, the user identity can be uniquely identified in a complex network environment, a search clicking behavior of the useris stably and continuously recorded, and a foundation is laid for subsequently providing recommendation information for the user pointedly. According to the method, the required information can be recommended for the user more accurately; the exporting and importing of input association are greatly improved; the search cost of the user is reduced; and the search experience of the user is improved.

The invention provides a personalized recommendation method and device for input association. The method comprises the steps that search query input by a user is received, and the type of the currentsearch query is recognized; and when pinyin information, hit by part or all of pinyin of the current search query, in an input association candidate set is analyzed, historical search words corresponding to the hit pinyin information are used as input association candidate words to perform personalized recommendation of the input association. In this way, the efficiency of the personalized recommendation method for the input association is improved; the user can accurately think of an appropriate search word to express the search intention without the need for manually rewriting a search wordto perform search again, and therefore the accuracy of the personalized recommendation method for the input association can be improved; and further in combination with an existing input association model, search cost can be reduced for the user, the user is helped to quickly and conveniently find a search result, the export effect of a whole search box is improved, and search experience can be further improved.

The embodiment of the invention provides a control object query method and device for a vehicle-mounted system, and the method comprises the steps: obtaining a user query statement, and extracting a query keyword and a modification relation of the query keyword from the user query statement; obtaining a knowledge graph constructed for the vehicle-mounted system; selecting a target entity word matched with the query keyword from entity words recorded in a knowledge graph; searching a connected graph from the knowledge graph; selecting a target path from the paths of the connected graph; determining a target page where a control object corresponding to the control object word is located according to the target path, generating a skip instruction, determining a display position of the controlobject corresponding to the control object word in the target page, and generating position information; and allowing the vehicle-mounted system to skip to the target page according to the skipping instruction and slide to the display position on the target page according to the position information. According to the embodiment of the invention, the user search cost can be reduced and the user experience is improved.

The invention discloses a light application data searching method, device and electronic equipment. The method comprises the steps that a search interface is provided for a user to perform a search operation; a search result corresponding to the search operation in an application database in response to a search operation performed in the search interface is inquired and obtained; a search resultinterface is provided to display the display item of the light application data item corresponding to the search result, the light application data desired to be acquired is selected for a user to perform a selection operation. According to the light application data searching method, device and electronic equipment, the light application data provided by different light applications is aggregatedfor searching, the search cost of the user is reduced, and the light application experience of the user is improved.

The invention provides an input association recommendation method and apparatus for optimizing commercial word promotion. The method comprises the steps of mining a search behavior log of a user, andextracting candidate words from the search behavior log of the user based on a preset extraction model to generate an input association candidate word library; matching the input association candidateword library with a high-quotient word library of a search advertisement release system, and according to a matching result, adjusting the input association candidate word library; receiving a searchquery input by the user, and sorting the adjusted input association candidate word library in combination with the search query; and recommending the sorted input association candidate word library as an input association recommendation result of the search query. The correlation between high-quotient words in the high-quotient word library and input association can be reasonably utilized; the candidate words can be accurately recommended to express a search intention of the user and improve the search experience; and the business revenue obtained by quotation through the high-quotient wordscan be increased, so that the cashability and the correlation search of the whole input association can be improved.

The method includes following steps: based on rules of fire wall, the characteristic value aggregate of network address field needing to filter appears on first hash space; based on characteristic value aggregate of net address of received packet appearing on second hash space, the specific Boolean operation is made for the first hash space and second hash space with same size; if the result indicates that the characteristic value aggregate of the packet is not in the range of characteristic value aggregate of the net address field, then the packed will be permitted to pass through the firewall.

The embodiment of the invention relates to a pull-down word recommendation method and device, electronic equipment and a storage medium. The method comprises the steps that search words input by a user are acquired, and an initial pull-down word recommendation candidate set is generated; obtaining search behavior data of a user; generating an associated word set according to the search behavior data of the user; and adjusting the initial drop-down word recommendation candidate set according to the associated word set to generate a drop-down word recommendation candidate set. According to the embodiment of the invention, the pull-down words related to the search words searched by the user (especially recent search) are displayed in the pull-down word recommendation candidate set, so that the search cost of the user is reduced, the user is ensured to search more coherently, and the real-time search requirement of the user on the concerned information is met in time; meanwhile, the utilization rate of the pull-down words and the search amount of the user are remarkably increased, and correspondingly, the total content of the user accessing the webpage is greatly increased.

The invention discloses a method for searching lost persons and related equipment, which comprises the following steps: receiving reward information sent by a user terminal; sending the reward information to a plurality of other user terminals, wherein the reward information is used for instructing each of the plurality of other user terminals to prompt a user to search for a lost person; receiving clue information sent by a target terminal of the plurality of other user terminals; sending the clue information to the user terminal, the clue information being used to instruct the user terminalto prompt a contact person of the missing person to search for the missing person. As the embodiment of the present application is adopted, the search efficiency of the lost person can be improved andthe search cost can be reduced.

The invention provides a big data real-time search system. The big data real-time search system comprises an index service module, a search engine module, a query service module and a background management module, the index service module is used for extracting original data and carrying out primary processing on the original data; the search engine module is used for establishing an index libraryfor the preprocessed data; the query service module is used for receiving a statement input by a user and converting the statement into a corresponding query statement; and the background managementmodule is used for managing the index service module, the search engine module and the query service module. According to the invention, the management of the search engine can be realized, the searchcost is low, the speed is low, and the flexibility is high.

The present invention discloses a context-aware music recommendation method based on a graph embedding model. The method comprises: S1. extraction of a music feature based on a graph embedding model; S2. extraction and modeling of a user global music interest and a contextual music interest; and S3. context-aware music recommendation. According to the method disclosed by the present invention, a feature of music is extracted from playback data of a user and metadata of the music by using a graph embedding model; then a global music interest and a contextual music interest of the user are acquired from a full playback record and a recent playback record of the user; and finally, the global interest and the current contextual interest of the user are comprehensively considered during recommendation, so that recommended music can comply with the real-time demand and preference of the user, and therefore, the search cost of the user is reduced and satisfaction of the user is improved.