99results about How to "Improve push accuracy" patented technology

The present application relates to an information pushing method, apparatus, computer device and storage medium based on large data analysis. The method comprises the following steps: obtaining the information to be pushed adapted to the user; Acquiring browsing behavior data of the user to the information, The browsing behavior data comprising a plurality of channel identifiers and a behavior description corresponding to each channel identifier; According to the behavior description, counting the browsing time length and browsing frequency corresponding to each of the channel identifiers; According to the browsing time length and the browsing frequency, selecting the channel identifier of the browsing channel customarily used by the user; sending the information to be pushed to the terminal corresponding to the user based on the channel identifier obtained by screening. The method can reduce the server resource occupancy.

The invention provides an information push method and device. The method comprises the following steps of acquiring a page content which is browsed by a user; acquiring push information matched with the page content; and pushing the push information to the user. According to the information push method and device provided by the invention, no longer like the way of the prior art that information is pushed to the user based on a keyword provided by a search engine, the information push is associated with the page content browsed by the user, and the information matched with the page content browsed by the user is pushed to the user; therefore, compared with the prior art, the precision of the push information is higher, and the click rate of the push information is improved.

Embodiments of the invention provide electronic article voucher pushing methods, electronic article generation methods and devices, a user terminal and a server, and relates to the technical field of computers. One electronic article voucher pushing method comprises the following steps of: obtaining respective feature data of a plurality of article vouchers and user portrait data which is used for representing consumption features of a user; respectively matching the respective feature data of the plurality of article vouchers with the user portrait data to obtain a matching result; and obtaining a to-be-pushed article voucher on the basis of the matching result, and pushing the to-be-pushed article voucher to a user client corresponding to the user portrait data. According to the electronic article voucher pushing method, article vouchers which are highly associated with clients can be pushed to the clients in the article voucher pushing process, so that the article voucher pushing correctness is enhanced, and the probability of consuming the article vouchers by the users is further enhanced.

The invention provides a network advertisement pushing method and a network advertisement pushing device, and relates to the Internet advertisement putting technology field. The network advertisement pushing method is characterized in that a target picture and a reference picture disposed in a to-be-put webpage are acquired; the similarity between the reference picture and the target picture is calculated; when the picture similarity satisfies a preset requirement, the advertisement information corresponding to the target picture is pushed to the preset position of the to-be-put website; the network advertisement is pushed by aiming at the picture content according to the picture similarity matching, and the pushing of the irrelevant advertisement information according to the key word / label data matching is prevented, and therefore the pushing precision is high, and network user experience is improved at the same time of reducing input cost of merchants.

The invention discloses an internet marketing cloud service platform which comprises a client terminal, a cloud service platform and a merchant terminal, the client terminal and the merchant terminalboth comprise an I / O module and a communication module, and the cloud service platform comprises a data receiving and dispatching module, a storage module and a data analysis module; And the manufacturing cost of the client terminal and the merchant terminal is reduced, the applicable equipment range is wide, the number is large, and the popularization cost is low. And the transaction rate can beeffectively improved, so that the order quantity of merchants is increased. Targeted marketing information pushing is carried out on the transacted user; According to the invention, the target customer is converted into the old customer, and the potential customer mining unit is matched, so that the customers with the same consumption attribute and customer interest category can be mined in the whole network, the commodity and marketing information is pushed to the customers, the customers without transaction are converted into new customers, and the order quantity is increased.

The invention relates to a multi-media file playing method and device as well as a terminal and a server, and belongs to the technical field of computers. The method comprises the steps as follows: at least one identification massage sent by the playing terminal is received and used for identifying users; a user interest massage corresponding to each identification massage is acquired and used for indicating user interest; a to-be-played multi-media file is determined according to each user interest massage; and the determined multi-media files are sent to the playing terminal and played by the playing terminal. The device comprises a massage receiving module, a massage acquiring module, a file determining module and a file sending module. According to the multi-media file playing method and device as well as the terminal and the server, the problem of poor accuracy of the pushed multi-media files due to the fact that multi-media files are assigned by updating commands is solved, and the push accuracy of the multi-media files is improved.

The invention relates to an article pushing and model training method and device, a storage medium and a computer device, and the article pushing method comprises the steps: obtaining candidate articles; extracting features of at least two modes from the candidate article to form candidate article features; wherein the features of the at least two modes comprise article text features and article media features; forming a target feature matrix according to the read article features of the target user and the candidate article features; wherein the read article features comprise features of at least two modes of a read article of the target user; and after inputting the target feature matrix into the sequence prediction model, pushing the candidate article to the target user when determiningthat the candidate article meets the pushing condition of the target user through the sequence prediction model. According to the scheme provided by the invention, the problem of low new article pushing accuracy caused by reading data missing can be solved.

The invention discloses an information pushing method, device and system, a terminal and a readable storage medium. The method comprises the following steps that: receiving the position information and the behavior information, which are sent from a first terminal, of a first user; substituting the position information and the behavior information into a preset machine learning model to obtain thebehavior characteristics of the first user; and according to the behavior characteristics, sending pushing information to the first user. By use of the information pushing method provided by the embodiment of the invention, a server can substitute the position information and the behavior information into the preset machine learning model so as to obtain the behavior characteristics of the firstuser after the position information and the behavior information, which are sent from a first terminal, of the first user are received; and then, according to the behavior characteristics, the pushinginformation is sent to the first user. Therefore, pushing accuracy is improved, and a pushing conversion rate is improved.

The invention relates to a location resource data pushing method and device based on resource allocation, computer equipment and a storage medium. The method comprises the following steps: receiving aplace resource acquisition request sent by a service terminal, wherein the place resource acquisition request carries product information and geographic position information; Obtaining a preset classification model, classifying the product information through the classification model, and adding a corresponding category label to the product information; Obtaining a plurality of location portraitdata and crowd portrait data according to the geographical location information; Obtaining a preset data analysis model, and performing matching analysis on the product information according to the category labels, the place portrait data and the crowd portrait data through the data analysis model to obtain preference values of the product information corresponding to a plurality of places; And sorting the place data according to the preference values of the places, obtaining a preset number of preferred place data, and pushing the preferred place data to the service terminal. By adopting themethod, the data pushing accuracy can be effectively improved, so that the product pushing efficiency is effectively improved.

The invention discloses an information pushing method and device, a storage medium and an electronic device. The method comprises the steps of obtaining historical browsing data of a first account ofa target application; wherein the historical browsing data records target information browsed by the first account through the target application; determining first to-be-pushed information in an information set collected by the target application according to the target information and the hot information recorded by the historical browsing data, the hot information being information of which thehot index exceeds a predetermined threshold in the information set; and pushing the first to-be-pushed information to the first account. According to the invention, the technical problem of inaccurate information pushing in the related art is solved.

The invention discloses a Wechat public account user classifying method based on the AdaBoost algorithm. According to the method, when Wechat public account users conduct daily operation and inquiry, operation and inquiry information is iterated by means of the boundary data oversampling algorithm, then data with high weight serve as boundary data, the boundary data are sampled, users are classified, and a system pushes hotspot information when users conduct clicking again. Compared with the prior art, the method has the advantages that after iteration is conducted multiple times with the AdaBoost algorithm, the effectiveness of the algorithm is proved through experiment results, user information pushing accuracy can be improved, practicality is high, and popularization is easy.

The invention discloses a music recommendation method based on group perspective, and particularly relates to the technical field of music recommendation. The method specifically comprises the following steps: obtaining static information and dynamic information of a user portrait, sending a table and a questionnaire to a user to obtain the static information of the user portrait, carrying out statistics and processing on data generated by user behaviors regularly, obtaining the dynamic information of the user portrait, and updating a dynamic information label of the user portrait periodically; constructing a user portrait after the dynamic information and the static information of the user are processed, abstracting information characteristics of a single user through the user portrait, tagging the user, and describing each user with a plurality of labels at different angles. According to the method, the real-time user dynamic portrait information can be acquired, and the music pushing is performed according to the real-time user dynamic portrait information, so that the pushed music content style can be changed according to the change of the user dynamic portrait information, the music pushing precision is improved, and the use experience of the user is improved.

The invention relates to a behavior data pushing method and device based on biological recognition, a computer device and a storage medium. The method comprises the following steps of obtaining multiple frames of face images uploaded by a user terminal, wherein the multiple frames of face images carry a user identifier; identifying a face image according to the plurality of frames of face images,and extracting face features corresponding to the face image; obtaining a preset expression classifier, and classifying the face features through the expression classifier to obtain a corresponding expression category; obtaining corresponding historical behavior data according to the user identifier; obtaining a preset analysis model, analyzing the expression category and the historical behavior data through the analysis model to obtain an analysis result, and the analysis result comprises a behavior label matched with the current expression of the user and the historical behavior habit of theuser; obtaining corresponding behavior data according to the behavior label; and pushing the behavior data to the user terminal. By adopting the method, pushing can be carried out according to user expressions and preferences, and the pushing accuracy of the behavior data is effectively improved.

The invention discloses low power consumption equipment, a keep-alive server and a message pushing method and system. The message pushing method comprises that in a dormancy state, whether an externalevent is triggered in detected, and if YES, a keep-alive link pushes an external event triggering message to the keep-alive server; and the keep-alive link is established between the low power consumption equipment and the keep-alive server in advance via network transmission protocols. Via the low power consumption equipment, keep-alive server and message pushing method and system, a detection message can be pushed from the lower power consumption equipment to a client within 1 second, the pushing accuracy of the detection message can reach 99.99%, hardware cost is not needed, the enforcement cost is low, and the user experience is improved greatly.

The invention relates to the technical field of data processing, and provides a message pushing method based on a user group, which comprises the following steps: classifying to-be-pushed informationaccording to the content of the to-be-pushed information to obtain classified information; obtaining user behavior information of the users, and grouping the users into a plurality of user groups according to the user behavior information to obtain user group information; wherein the user behavior information is behavior information in a user interaction process, and the user grouping informationis user grouping information; and matching the correspondingly classified information to be pushed in the classification information according to the user grouping information, and pushing the information to be pushed to the users in the user group. Correspondingly, the invention further provides a message pushing device based on the user group and computer equipment. According to the message pushing method and device based on the user group and the computer equipment, the pushing accuracy of the to-be-pushed information can be improved, then the pushing efficiency of the to-be-pushed information is improved, and invalid pushing or negative pushing causing reaction is avoided.

The invention provides an advertisement data push method and device. Through data interaction between a terminal, an advertisement data push platform and an advertisement server, advertisement data of which data characteristics are consistent with consumption characteristics of a user and a data theme contains key words can be acquired by the advertisement server according to a user identifier of the user and the key words used for describing the data theme of to-be-requested data needing requested by the user, and the acquired advertisement data is pushed to the user. Compared with the prior art, the method is advantaged in that the advertisement data is pushed to the user according to present demands of the user and the historical consumption characteristics of the user, and push accuracy of the advertisement data can be improved.

The embodiment of the invention provides an information push processing method based on a block chain and artificial intelligence and a cloud service platform. The interest text pushing method comprises the following steps: determining a third templated control service node which corresponds to a first templated control service node and is matched with an information pushing subscription item andthe fourth templated control service node which corresponds to the second templated control service node and is matched with the information pushing subscription project; and determining associated interest coverage service information in the interest text pushing process in combination with the templated control service node and the browsing structured display strategy, and updating an interest pushing index strategy of the information pushing model. Thus, the interest push index strategy of the current information push model can be updated based on the templated control service node with theassociation relationship, so that the interest push index process can be adaptively adjusted in the next round of information push control process, and the information push accuracy is further improved.

The invention relates to an audio data pushing method and device based on biological recognition, a computer device and a storage medium. The method comprises the following steps of obtaining multipleframes of face images uploaded by a user terminal, wherein the multiple frames of face images carry a user identifier; identifying a face image according to the plurality of frames of face images, and extracting face features corresponding to the face image; obtaining a preset expression classifier, and classifying the face features through the expression classifier to obtain an expression category corresponding to the user identifier; obtaining a preset expression mapping data table, and obtaining corresponding audio data according to the expression category; and pushing the audio data to the user terminal. By adopting the method, the pushing accuracy of the audio data can be effectively improved.

The invention discloses a report generating method and device. The method comprises the steps of obtaining all historical service data sheets in a preset historical time period, and creating a custom base report containing all dimensions of the historical service data sheets based on the historical service data sheets; receiving a creation request for creating a custom report, and after responding to the creation request, based on the historical use frequency by the initiator of the creation request, of all the dimensions of the custom base report, recommending multiple candidate dimensions to the initiator of the creation request; generating the custom report for the initiator of the creation request in combination with the target dimensions determined by the initiator of the creation request from the candidate dimensions, and updating the historical use frequency data of the target dimensions of the custom base report. The report generating method can save cost.

The invention provides an advertisement push system and method. The system comprises a detector and a data processing server in communication connection with the detector; the detector is used for detecting mac layer information of a terminal device with a wifi function enabled and uploading same to the data processing server; wherein the mac layer information comprises a mac address and a hotspotname of a wifi hotspot connected to the terminal device; the data processing server is used for acquiring a target hotspot name corresponding to the detector, and matching the hotspot name and the target hotspot name; and if the hotspot name is matched with the target hotspot name, the advertisement content is pushed to the terminal device based on the mac address. Thus, when the terminal deviceis connected to the designated wifi hotspot, the related advertisement content can be pushed to the terminal device, and advertisements are pushed for marketing touch and powder guiding on potential customers, thereby improving the pushing accuracy.

The invention discloses a parking advertisement pushing method and system, and relates to the field of intelligent parking management, and the method comprises the following steps: collecting a vehicle image entering a parking space; identifying and analyzing the vehicle image to obtain vehicle feature information corresponding to the vehicle; obtaining advertisement information corresponding to the vehicle feature information; and pushing the advertisement information to a vehicle owner corresponding to the vehicle. According to the invention, the collected vehicle image is analyzed and identified; real-time customized pushing of the advertisement is carried out based on the vehicle characteristic information obtained through identification and analysis; according to the method and the device, information such as interest and preference of vehicle owner users is deduced reversely through the vehicle characteristic information, so that advertisements can be pushed to vehicle owners ina customized manner according to different vehicle owner users and different vehicle characteristic information, the pushing precision of the advertisements during parking can be improved, and the conversion effect of the advertisements can be improved. The method and system provided by the invention can be applied to the field of intelligent parking management.

The invention belongs to the technical field of electronic commerce, and particularly relates to a shopping system and method based on user feature information and product component information. The system comprises an information collection subsystem which carries out the collection of product information and user information, a user portrait construction subsystem which is used for constructinga user portrait according to the collected user information, a product portrait construction subsystem which is used for constructing a product portrait according to the collected product information,and a data association subsystem which is used for carrying out data association according to the constructed user portrait and product portrait. Object recommendation can be provided for different users in a personalized mode, and the pushing result accuracy is high through a pushing system established based on the user portrait and the product portrait.

The invention relates to a function optimization technology, and provides a recommendation information pushing method and device, computer equipment and a storage medium. The method comprises the following steps: receiving an information acquisition request which is sent by a terminal and corresponds to a user identifier; querying user application progress data corresponding to the user identifierand a pre-configured recommendation information identifier according to the information acquisition request; when the user application progress data is not queried, querying user application behaviorbreakpoint data corresponding to the user identifier and the recommendation information identifier; when the user application behavior breakpoint data is queried, determining the recommendation information identifier as a pushed target recommendation information identifier; and pushing recommendation information corresponding to the target recommendation information identifier to the terminal fordisplay. By adopting the method, the pushing accuracy of the recommendation information can be improved, so that the conversion rate of the recommendation information is improved.

The invention discloses a text object accurate pushing method for mining deep features based on neural collaborative filtering. The method comprises a policy description document feature extraction method based on a convolutional neural network and a hybrid pushing method for mining deep features. The invention provides specific steps of a policy description document feature extraction method based on a convolutional neural network. The specific steps of the hybrid pushing method for mining the deep features are provided. Compared with an existing policy pushing method, the method has the advantages that the convolutional neural network can be used for automatically extracting the local features of different word ranges of the semantic level contained in the text from the policy description document; and meanwhile, the extracted features are fused into the neural collaborative filtering policy pushing method in a more flexible manner, a nonlinear interaction relationship between the user and the policy is established in the neural collaborative filtering policy pushing method, and deeper interaction features between the user and the policy are mined, so that higher pushing accuracycan be achieved.

The invention relates to a data pushing method and device applied to cloud computing, electronic equipment and a system. By applying the scheme of the invention, the additional feature dimension can be further mined on the basis of the first feature vector of the user behavior data, the efficiency and comprehensiveness of feature analysis of the user behavior data are improved, and missing of thefeature dimension is avoided. Thus, the target feature vector corresponding to the user behavior data can be accurately and completely determined, and then the expected data is accurately determined and pushed based on the target feature vector, so that the pushing accuracy of the cloud server in the data pushing process is improved, and wrong pushing of the data is avoided.

The invention provides an intelligent discount coupon delivery method based on reinforcement learning. The method solves the problem of sequence decision of traditional discount coupon delivery, and the traditional discount coupon delivery method is a static recommendation method. According to the invention, a neural network is used as a main nonlinear fitting device, inputs user features, and outputs values of various face value coupons. A coupon with the highest value is selected and sent to the user through a coupon issuing system. A short message reminding mode is adopted to remind a user to consume, and then user behavior feedback is collected to generate state transition and put the transition \ into a neural network for training. Algorithm convergence is achieved through a periodof training, the strategy network is fixed as a recommendation function, and recommendation. Is performed Through design, the coupon pushing precision is effectively improved.

The invention discloses a calendar-based service information pushing method and device, and a computer storage medium. The calendar-based service information pushing method comprises the steps of obtaining a to-be-reminded event recorded in a calendar; analyzing the to-be-reminded event to obtain a service demand of a user; and displaying service information corresponding to the service demand ofthe user in the calendar. The invention provides a calendar-based service information pushing method and device and a computer storage medium. According to the embodiment of the invention, the servicedemand of the user is obtained according to the to-be-reminded event recorded in the calendar, and the service information corresponding to the service demand of the user is directly displayed in thecalendar, so that the operation is convenient and intelligent, the pushing accuracy is effectively improved, and the use experience of the user is improved.

The invention discloses an information recommendation method and device, and relates to the technical field of Internet of Vehicles. The specific implementation scheme is as follows: a server querieshistorical data of position points in a reference area by using vast users in advance, and establishes a geofence set corresponding to the reference area; and in the information recommendation process, after the server receives the position information reported by the first electronic equipment, the server determines to-be-recommended information according to the target geofence to which the position point corresponding to the position information belongs and sends the to-be-recommended information to the first electronic equipment. In this process, the server establishes a geofence by combining search history of a large number of users in an effective time period. According to the information recommendation method, the information is recommended to the user through the geofence, and the popular position points of the public are reflected by the position points in the geofence, so that the quality and timeliness of the recommended information are greatly improved, and meanwhile, the purpose of improving the information pushing accuracy can be achieved.