97results 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 provides a search recommendation method and a search recommendation device. The method includes receiving a first search word; acquiring search results according to the search word; analyzing the search results to acquire at least one focus point corresponding to the search results, and respectively acquiring corresponding recommendation contents according to the focus points; providing a search result webpage, and providing the search results, the focus points and the recommendation contents corresponding to the focus points in the search result webpage. By the search recommendation method, search cost of users is reduced while information are provided for the users in a multidirectional manner, so that the users can acquire the search results as needed quickly, and user experience is improved.

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.

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 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 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 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 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 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.