30 results about "Keywords classification" patented technology

A content management method and apparatus is provided for conveniently and efficiently classifying and filtering contents stored in at least one digital device. A contents management method may include displaying, when a digital device is connected, graphical user interface (GUI) objects representing the digital devices and contents stored in the digital devices, and setting keywords for classifying the contents in response to events triggered by user behaviors in association with at least one of the GUI objects. The method may also include displaying the GUI objects representative of the contents classified by using the keywords.

Sampling analysis includes classifying a plurality of query keywords into a plurality of query keyword subsets according to page view (PV) values associated with the plurality of query keywords, the plurality of query keywords being submitted by a plurality of users; determining a respective plurality of sample rates of a respective plurality of query keywords in a respective one of the plurality of query keyword subsets; and sampling query data in the respective one of the plurality of query keyword subsets according to the respective plurality of sample rates.

The invention discloses a search engine device with various presentation modes based on classification of key words and a searching method. The search engine device comprises a user interactive interface, a key word processing unit, a search unit and a search result presentation unit. The searching method comprises a first step of preprocessing and classifying the key words input by a user and selecting diversified and different presentation modes according to the classification result of the key words, and a second step of clustering search results, filling into the selected presentation template and using the corresponding presentation mode to display the ultimate search results to the user. The search engine device is simple in structure and easy to operate. The presentation mode (especially the different classifications of the key words) promotes the user to understand and use, and the search results are more concise and clearer. The user only needs to continue to click a mouse, and then themes relative to the contents of the searched targets can be presented. The user can fast position the demanded information, the time needed by the user to select the needed information is saved, and the searching efficiency and the presentation effect are enhanced.

The invention discloses a website classifying method and system, wherein, the method comprises: counting the keywords searched by the user and clicking the information of the web site, with website as a unit; determining the keywords set directing to the website to be classified by the counted information and establishing a vector of the website to be classified by the keywords set; determining a seed website whose type is known and establishing the vector of the seed website by the keywords set; calculating the similarity of the website to be classified and the seed website by the vector of the website to be classified and the vector of the seed website; determining the type of the website to be classified based on the similarity size. Compared with the existing method, the invention is independent of keywords classification, can determine the website type by the similarity of the seed website whose type is known, and can implement more exact website classification.

The invention discloses a response method for a distributed big data classification retrieval webpage, which belongs to the technical field of Web access. The response method comprises the following steps of: S1: starting a distributed server, classifying pages by keywords according to Hash Code, and caching the data retrieved from a database in each server; S2: when a user request arrives at, checking the retrieval conditions thereof, and selecting the matched server by the keywords of the user request according to Hash Code; S3: refreshing data in a memory, and cancelling the previously-cached pages. The response method disclosed by the invention has the beneficial effects that the response speed of the big data classification retrieval webpage can be effectively increased, the pressure of the database can be alleviated, and the burdens of the servers can be reduced.

A method and system for extracting a weight classified by a ranking which can calculate, in a keyword advertisement, a unit sale cost of an advertisement area exposing advertisement information by considering an advertising effect classified by a keyword, the advertising effect being acquired by using the corresponding advertisement area, is provided. The method of extracting a weight classified by a ranking includes the steps of: generating the advertisement area, wherein one keyword corresponds to a plurality of advertisement areas and each of the plurality of advertisement areas corresponds to the ranking; and extracting a weight value for advertising costs of the advertisement area by considering an advertising effect classified by the ranking of the advertisement area corresponding to a click-through rate (CTR), and the ranking.

A computer-implemented method of classifying a keyword in a network comprises: identifying a plurality of candidate categories, comprising: converting a plurality of search results related to the keyword into a plurality of search vectors, wherein each of the plurality of search results indicates a related resource in the network; converting a plurality of resources into a plurality of category vectors, wherein each of the plurality of resources is classified in one or more categories of a set of categories; and determining, for the plurality of category vectors, a plurality of similarity values indicating similarity to the plurality of search vectors; processing the plurality of candidate categories; and classifying the keyword by selecting the candidate category having a highest similarity value within the plurality of similarity values, a corresponding system, computing device and non-transitory computer-readable storage medium.

An apparatus and method for interpreting a Korean keyword search phrase is provided. The apparatus for interpreting the Korean keyword search phrase may include an interface to receive a search phrase and to extract keywords from the search phrase, and a processor to classify the extracted keywords into at least one of a class, an instance, a property, and an attribute, based on a Korean sentence structure, and to obtain semantic information associated with the search phrase from a database, based on a result of the classifying.

The invention discloses an interest point searching method and system for a mobile internet. The method comprises the following steps of: acquiring HTTP logs of users accessed to the mobile internet from a DPI system; extracting a user search URL according to a searching characteristic library; determining user search interest points by adopting a keyword classification method; if successful, ending the process; and if not, determining the user search interest points by adopting a webpage classification method. According to the interest point searching method and system for the mobile internet disclosed by the invention, starting with a basic network, two analysis methods are combined; mobile internet search interest points of user can be analyzed more accurately; the accuracy rate and the coverage rate for analysis of the mobile internet search interest points can be increased; and powerful data support is provided for product marketing and improving the user experience.

The present invention relates to a menu configuration method and system of a smart device which configures an application menu in the smart device, and the method comprises the steps of: enabling the smart device to collect information related to keywords, titles, and / or tags of an application and to determine the collected information as the keyword for searching a semantic menu; classifying the keyword determined in the smart device as the semantic menu; and starting the semantic menu classified in the smart device. The present invention can provide a user with improved menu operability and convenience for an application search and application management based on user experience (UX).

The embodiment of the invention discloses an intelligent bill information extraction processing method, which comprises the following steps: shooting a bill to generate a bill electronic picture; determining an identification range, and identifying the maximum range occupied by the bill electronic picture; defining an identification sequence, defining the identification sequence according to a bill typesetting rule, and sorting identification results; identifying bill information, scanning effective electronic areas according to an identification sequence, judging a current bill type, extracting bill type data, and meanwhile, obtaining keyword classification information contained in the current bill type; defining an information extraction rule, and stipulating the information extraction rule according to the bill type; and implementing an information extraction operation, identifying bill information, and searching key information in the bill picture according to the information extraction rule. According to the scheme, the bill structured information is extracted by dynamically defining the spatial relationship, and line feed, truncation and vertical texts in the bill can be wellprocessed.

The invention provides a log classification method and device, an electronic device and a storage medium. The log classification method can extract the keyword of each piece of data in the historicallog data, and is characterized by classifying the extracted keywords into parameter types corresponding to a plurality of configured log types; determining a keyword corresponding to each parameter category; further combining the score of each parameter category and the weight corresponding to each parameter category to configure the log type list is accurately, and determining the target log typeof the target log rapidly and accurately by combining the log type list, so that the purpose of automatic classification in the interface test is achieved, the human participation is reduced, the labor cost is saved, and the classification efficiency can be effectively improved.

A method and system for extracting a weight classified by a ranking which can calculate, in a keyword advertisement, a unit sale cost of an advertisement area exposing advertisement information by considering an advertising effect classified by a keyword, the advertising effect being acquired by using the corresponding advertisement area, is provided. The method of extracting a weight classified by a ranking includes the steps of: generating the advertisement area, wherein one keyword corresponds to a plurality of advertisement areas and each of the plurality of advertisement areas corresponds to the ranking; and extracting a weight value for advertising costs of the advertisement area by considering an advertising effect classified by the ranking of the advertisement area corresponding to a click-through rate (CTR), and the ranking.

The invention provides a keyword classification search method and system in big data. The method comprises the following steps of receiving a keyword input by a user; querying the category of the keyword according to the keyword; and performing a search according to the category of the keyword to obtain a search result. The technical scheme provided by the method and the system has the advantage of good user experience.

The invention relates to the technical field of attendance checking. The invention particularly relates to an intelligent attendance system. The system comprises an employee basic information input module. the employee photo is uploaded to an identification module and an employee attendance identification module; the employee attendance identification module is used for identifying attendance; Themethod is used for staff to enter or leave an office area. starting a camera to start to dynamically capture the head portraits of the employees, utilizing a face recognition technology to recognizeall persons in the photo, storing the obtained information into a database, classifying the information by taking job numbers as keywords, extracting data in the database, and calculating the earliestoffice area entering time and the latest office area leaving time as attendance time. A special attendance checking device is not needed, a high-definition camera in an office area is directly utilized, and the cost is saved; Attendance checking forgetting is avoided, photographing is automatically captured, and intelligence and high efficiency are achieved; Multiple persons can be identified simultaneously, and the efficiency is high; And each identification result is used as a new feature value verification identification algorithm, so that the accuracy of the algorithm is ensured.

The present invention provides a category-based searching method and system of a keyword in big data. The method comprises the following steps of receiving a keyword input by a user; inquiring the category of the keyword according to the keyword; and searching according to the category of the keyword so as to obtain a search result. The category-based searching method has the advantage of high user experience.

A content management method and apparatus is provided for conveniently and efficiently classifying and filtering contents stored in at least one digital device. A contents management method may include displaying, when a digital device is connected, graphical user interface (GUI) objects representing the digital devices and contents stored in the digital devices, and setting keywords for classifying the contents in response to events triggered by user behaviors in association with at least one of the GUI objects. The method may also include displaying the GUI objects representative of the contents classified by using the keywords.

The invention discloses a classified storage method of information technology data, which comprises the following six steps: data entry, keyword classification, keyword category supplementation, format classification, format category supplementation and user retrieval, so that wide information technology data is effectively classified, and data in different forms and formats in different categories can be classified again. According to the invention, the content in different forms and formats in the required category can be quickly and effectively obtained by a user during retrieval, the retrieval accuracy is improved, the retrieval time consumption is reduced, and meanwhile, no keyword category and format category can be expanded and entered, so that the invention has a longer prospect.

A system, method and computer readable storage medium for analyzing a medical report to determine if interval change data corresponding to a change of the medical data over time is required, extracting keywords from a predetermined field in the medical report corresponding to an interval change, categorizing the extracted keywords into a first category corresponding to the interval change if the keywords conform to a first pattern and categorizing the extracted keywords into a second category if the keywords conform to a second pattern and generating a notification message if the keywords correspond to the second category.

The invention discloses a search engine device with various presentation modes based on classification of key words and a searching method. The search engine device comprises a user interactive interface, a key word processing unit, a search unit and a search result presentation unit. The searching method comprises a first step of preprocessing and classifying the key words input by a user and selecting diversified and different presentation modes according to the classification result of the key words, and a second step of clustering search results, filling into the selected presentation template and using the corresponding presentation mode to display the ultimate search results to the user. The search engine device is simple in structure and easy to operate. The presentation mode (especially the different classifications of the key words) promotes the user to understand and use, and the search results are more concise and clearer. The user only needs to continue to click a mouse, and then themes relative to the contents of the searched targets can be presented. The user can fast position the demanded information, the time needed by the user to select the needed information is saved, and the searching efficiency and the presentation effect are enhanced.

The invention relates to a data processing method and device based on big data, and the method comprises the steps: obtaining a corresponding target access address set according to a data processing instruction, obtaining the page data of each page according to the target access address set, extracting keywords existing in each piece of page data according to a preset keyword extraction mechanism,and carrying out the extraction of keywords in each piece of page data; and according to a preset keyword classification mechanism, classifying keywords existing in each piece of page data to obtaina data stream corresponding to each piece of page data, and performing data processing on the data stream corresponding to each piece of page data. According to the big data-based data processing method provided by the invention, the data closely related to the target user can be processed, so that the obtained data processing result better meets the real demand of the target user, the differencebetween the data processing result and the real demand of the target user is reduced to a great extent, and the data processing accuracy is improved.

Sampling analysis includes classifying a plurality of query keywords into a plurality of query keyword subsets according to page view (PV) values associated with the plurality of query keywords, the plurality of query keywords being submitted by a plurality of users; determining a respective plurality of sample rates of a respective plurality of query keywords in a respective one of the plurality of query keyword subsets; and sampling query data in the respective one of the plurality of query keyword subsets according to the respective plurality of sample rates.