322 results about "Precision marketing" patented technology

The invention discloses an information pushing system of a WiFi (wireless fidelity) terminal and an implementation method thereof. The system comprises a WiFi signal collector, a WiFi signal processing module, a WiFi indoor positioning module, a customer activity analyzing and data mining module, a user personality file database, an advertisement information storage database, an advertisement putting and matching engine and a WiFi logging portal module. The system is suitable for all terminals with the WiFi function, such as mobile phones, PADs (personal access device) and PCs (personal computer), and different software platforms, such as Andriod, wP, iOS, Windows, MAC OS and Linux, the WiFi terminals do not need any software modification and updating, and the applicable range is wide. The possible hobby of a consumer is judged through data analysis and mining, and the real-time and on-site precise marketing is realized for target users, so on one hand, the experience of the user consuming in business places is improved, and on the other hand, the commercial value of sellers and factories is improved.

The invention relates to the technical field of a social network and particularly relates to a multi-label propagation discovery method of overlapping communities in the social network. The multi-label propagation discovery method comprises the following steps: reading data of the social network, constructing a social network diagram which adopts social network users as nodes and user relationship as edges; according to the social network diagram, carrying out preliminary community division of the social network, and carry outing community discovery by adopting a label propagation method of comprehensively considering the node centrality and label-degree distribution constraint to obtain a non-overlapping community structure; marking the levels of the nodes according to the obtained non-overlapping community structure and the centrality value of the nodes in the communities; and according to the levels of the nodes, calculating label propagation gain among the nodes with different levels, and carrying out overlapping node mining by utilizing the multi-label propagation to obtain the overlapping community structure of the social network. The multi-label propagation discovery method has the advantages that the overlapping community structure in the social network can be effectively mined, the accuracy and the efficiency of community detection are favorably improved, and the method can be applicable to the fields of target group mining, precision marketing and the like.

The invention provides a city life information platform and implementation method, capable of providing the socialized services form the city life main body based on a common server soft hardware system and a website platform system of website basis structure. A system node at least is divided into the personal node and commerce node and the content of the commerce node can be edited by any customers before being taken over. The system also comprises a group device, a show device, a comment device, an instant communication device, an accounting device, a monitoring device and a pushing device, and is combined with a series of method of aggregating the content, automatic grouping, tracing and commenting, affirming the information and instantly communicating or the like, therefore the nodes and the contents are integrated into one real-time effective information entity. The information platform can fully satisfy the subjective requirement for developing various city social activities of the city subjective, especially have very effective application of customer relationship management, accurate marketing of network, society aggregation or the like.

The invention discloses an accurate marketing method and system for establishing a user portrait based on big data. The method comprises the following steps of S1, comprehensively acquiring the staticinformation data and the dynamic information data of a user based on a network probe technology and a big data technology to form a data source; S2, performing analysis processing and feature extraction on the data source, generating a personalized user tag and generating a weight corresponding to the user tag; S3, constructing a user portrait and a user portrait model based on the user tag and the weight corresponding to the user tag; and S4, realizing the accurate marketing based on the user portrait model. The system comprises a data acquisition module, a user label generation module, a user portrait construction module, a precision marketing module and a database module. According to the accurate marketing method and system for establishing the user portrait based on the big data in the technical scheme, during the user label extraction, user portrait construction and precise marketing implementation, the accurate marketing is scientifically, finely and truly achieved, and the effect is good.

The invention discloses a blockchain big data business information analysis system. The system comprises a business information data platform, a web crawler system, a blockchain storage system, a cloud computing center and a user display side, the business information data platform and the web crawler system are subjected to information interaction, the blockchain storage system stores interaction information, the cloud computing center calls data from the blockchain storage system and processes the data, and a user transmits data processed in the cloud computing center to the user display side by operating the user display side; the business information analysis platform provides first-hand, special, detailed, accurate and personalized business information for the user in the first time. The system can be used in the fields of precision marketing, investment risk control, industrial economy development situation prediction, stock market prediction, enterprise credit evaluation, science and technology project application, market opportunity finding, automatic public opinion monitoring and the like.

The invention provides a contactless card application management system and a management method; the system includes an application and offline accountant management platform (1), a mobile payment platform (2) and a mobile terminal (4); the application and offline accountant management platform (1) is mutually connected with the mobile payment platform (2); the mobile terminal (4) is connected with the application and offline accountant management platform (1) through a contactless induce-identify device (3); the mobile terminal (4) accesses to the mobile communication network of the mobile payment platform (2). The invention adopts the wireless communication device as the electronic currency of various electronic payment platforms so that the defect of carrying large quantities of different IC cards is solved for the users; the consumption behavior of the users can be analyzed; the precision consumption information is delivered to the users according to the consumption behavior and the interests of the users, so as to provide precision marketing bidirectional service for the merchants and users and further promote the development of the electronic payment mode.

The invention relates to the technical field of communication data processing, in particular to a system for carrying out precision marketing on basis of user portrait and a realization method. The system comprises a data source layer, a data processing layer, a data platform layer, a data response layer and a data display layer, wherein the data source layer is used for storing various data sources; the data processing layer is used for summarizing data in the data sources and then pulling through the data with different sources; the data platform layer is used for processing data operated by the data processing layer to form preliminary label data of users; the data response layer is used for storing the label data operated by the data platform layer; and the data display layer is used for displaying deep user portraits and carrying out precision marketing display on users. According to the system and the realization method, the problem that the mining for label data of traditional user portraits is insufficient is solved, the cold start problem in traditional recommendation systems is solved through depth-based user portraits is solved, and enterprises are helped to carry out precision marketing on the users.

The invention discloses a WeChat marketing service platform. A management module is used for businesses using WeChat marketing service platform accounts to add WeChat official accounts and modify password setting, view background operation settlement and platform announcement, and carry out renewal management and SMS top-up on WeChat marketing service platform accounts. A basic setting module is used for setting the basic content of WeChat official accounts. A WeChat mall module is used for providing a systematic mall system for online transaction of WeChat official accounts. A micro official website module is used for businesses to set a micro official website style according to a template provided by the WeChat marketing service platform or a custom template. A micro activity module is used for businesses to set marketing activities to attract more fans. The WeChat marketing service platform is a service platform which can be understood and used by users easily and allows users to carry out marketing easily. The platform can realize precision marketing, help enterprises to establish a brand quickly, enable enterprises to better face the consumers and market in tens of millions of marketing tides and reduce labor cost, and maximize the effectiveness of WeChat.

The invention discloses a method for realizing intelligent operation and precision marketing through big data modeling. The method comprises the following steps of 1, acquiring various data of a product in an APP access process of a user; 2, integrating the various acquired real-time data and offline data by establishing a Hadoop-based big data ecological platform; 3, adopting artificial intelligence, a machine learning algorithm and a probability statistics model, and realizing rapid construction of a marketing model through self-defined model indexes; and 4, completing the configuration of the decision flow and the test engine in the engine system, when the user triggers a certain strategy response rule in the process of using the app, automatically pushing a corresponding operation strategy by the background, and pushing different information by aiming at different users in a personalized manner at the app end. According to the method, the data value is continuously mined from the service demand and the user demand to form the service experience and the data model, data support is provided for operation strategy optimization and product innovation, and the operation cost is saved while the user experience is improved.

The invention provides a two-dimensional code-based data analysis anti-counterfeiting traceability marketing management method and system. After a two-dimensional code of a product is scanned, whether the two-dimensional code of the product is scanned for the first time or not can be judged; when the judgment result is negative, a consumer can be reminded that the product can be a counterfeited product; and the consumer can conveniently and accurately know the authenticity of the purchased product. A point exchange platform, an awarding platform, a game platform, a big data platform, an O2O mall and logistics platform and a wechat public account are also constructed. After the consumer purchases the product, the consumer is stimulated employing anti-counterfeiting tracing as an entry in manners of presenting points, participating in game raffling and the like; the consumer interacts with an enterprise, so that the viscosity of the consumer is strengthened; the loyalty index is improved; the range of the consumer group is expanded; when the consumer participates in interaction, the system collects large data of the consumer, carries out data mining and analysis, provides a big data support for the enterprise, draws a portrait of the consumer, and carries out accurate precision marketing and secondary product marketing.

The invention provides a user portrait based personalized precision marketing method, a server and a storage medium. The method comprises the steps of obtaining label information of a user, building auser portrait according to the label information, obtaining the current Internet surfing behavior of the user, performing prediction and analysis on the behavior, screening out contents which the user may like or be interested in based on the user portrait when the user is predicted and analyzed to have a purchase or consumption intention, and carrying out personalized recommendation according tothe contents which the user may like or be interested in. Each user has a unique user portrait, and a list of contents which the user may like or interested in can be screened out through performingdeep analysis by combining the user portrait and the current Internet surfing behavior, thereby being capable of well performing personalized recommendation according to the condition of each user, improving the recommendation accuracy, and also being capable of well solving a problem of cold start of new users at the same time.

The invention relates to the technical field of social networks, in particular to a dynamic community detection method in the social network. The method comprises the steps that a snapshot of a certain time slice (moment) of the social network is obtained for the social network changing dynamically, and then a social network chart is constructed; community division is carried out on the social network chart of the initial moment, and the snapshot of a subsequent certain time slice (moment) of the social network is compared with the snapshot of a former moment to find an increment node set; the proportion occupied by increment nodes is calculated, if the proportion of the increment nodes exceeds a specified threshold value, community division is carried out on a complete snapshot network, and otherwise, community division is carried out on the increment node set, and then the community structure of the snapshot of a certain time slice (moment) of the social network is obtained. The method can effectively explore the community structure in the social network and can be applied to the fields of target group mining and precision marketing.

The invention provides a telemarketing customer service system based on artificial intelligence and a business operation mode. According to records of various customer services and historical clients in a platform, a character model of every customer service and a character model of every historical client are generated based on emotion identification system. By adopting an artificial intelligence analysis technology, multidimensional analysis of every customer service, every task, and every client is carried out to generate the intelligent portrait of every customer service, the intelligent portrait of every task, and the intelligent portrait of every client are generated. The intelligent matching of the intelligent portrait of every customer service, the intelligent portrait of every task, and the intelligent portrait of every client is carried out according to a preset rule, and then a plurality of orders are generated, and accurate marketing among the customer services, the tasks, and the clients is realized, and therefore personalized service is provided for the clients. After the orders are finished, the intelligent vouching of the finished orders by adopting a speech recognition system and a preset vouching strategy, real-time quality inspection and real-time billing are realized, and finally, work load of workers is effectively reduced, vouching time is shortened, and the accuracy of the quality inspection is improved.

The invention discloses a meta-path-based link prediction method for aligned heterogeneous social networks, mainly solves the problem of link prediction (mainly including friend relationship prediction and position prediction) in the aligned heterogeneous social networks, and relates to related technologies of the aligned heterogeneous social networks, feature selection, link prediction and the like. The method mainly comprises six steps of (a) modeling the aligned heterogeneous social networks; (b) automatically extracting a meta-path; (c) defining a meta-path-based eigenvalue calculation method; (d) dividing data sets according to timestamps; (e) proposing a two-stage gradual forward greedy feature selection algorithm for performing feature selection; and (f) training a decision tree classifier based on a feature selection result to perform the link prediction. Based on the method, the aligned heterogeneous social networks consisting of Foursquare and Twitter are subjected to the link prediction; and the method has practical application values for entity recommendation, accurate marketing, criminal gang discovery and the like in the social networks.

The invention discloses a method and a device for constructing a product user network. The method comprises the following steps of: acquiring relational information, wherein the relational information comprises relational information between a user and a product, relational information between users and relational information between products; generating a relational network in which the user and the product are used as nodes according to the relational information; predicting a link of the relational network to acquire the predicted relational network; and analyzing the link of the predicted relational network to acquire link analysis information, wherein the link analysis information comprises related information of the link to one or more of user recommendation, product recommendation and bundling sale. In the scheme, the more accurate and completer relational network is acquired by predicting and analyzing the link of the relational network; and functions such as user recommendation, product recommendation (also called precision marketing), bundling sale and the like can be effectively realized by using the relational network.

The invention provides an advertisement precision marketing method based on an APP self-service platform. The method includes the steps that client resource information is acquired; the client resource information is traversed according to a first inquiry request sent by a promulgator, inquiry results serve as marketing objects, and the first inquiry results can be processed according to the request of the promulgator; advertisement information is sent to the marketing objects, the advertisement information and the marketing objects are bound and serve as marketing information to be stored in a database, feedback information of each marketing object within a preset time period is counted, and the feedback information and the marketing information are bound and serve as marketing records to be stored in the database; the marketing records are traversed according to an inquiry request of the promulgator and second inquiry results can be generated and processed according to the inquiry request of the promulgator. According to the method, the marketing objects can be more widely and more accurately found for a client, communication can be made with each marketing object, and advertisement marketing precision and advertisement marketing efficiency are improved.

The invention relates to a method and a system for user identification based on specific information. The user identification method includes: determining a temporary unique user identifier related to the specific information according to the specific information referring to internet access conditions of a user; acquiring the temporary unique user identifier and user identification information from a communication network side; and associating the user identification information with the specific information according to the temporary unique identifier, wherein the associated information is used for providing the user identification information to the outside. According to the technical scheme, the specific information and the user identification information can be associated based on the temporary unique user identifier to provide the user identification information corresponding to the specific information for internet application and the like, so that the internet application can perform subsequent behaviors such as user behavior analysis, precision marketing and the like, and processing of user positioning and the like aiming at network security events can be realized.

The invention relates to a physical place behavior analysis system based on Internet of things and big data, which comprises a smart commodity label, a scene management device, a deployment tool, a mobile phone App, a local server and a cloud server, wherein the smart commodity label is bound on a commodity in need of being tracked; the scene management device is arranged at each position of the physical place; the local server is arranged in the physical place; the deployment tool is used for carrying out data exchange with the smart commodity label and the scene management device respectively to acquire the commodity ID information and the map position information of the commodity in the physical place; and the local server is used for carrying out data exchange with the mobile phone App and the scene management device, and behavior analysis is carried out on a member customer carrying the mobile phone App to enter the physical place according to received data. Through enabling person, commodity and physical place data to be in one-to-one correspondence, customer needs can be analyzed, the shopping experience in the physical place can be enhanced, and precision marketing for the physical place can be realized.

The invention discloses a smart precision marketing system for big data. The system comprises a big data platform, a data fusion unit, a model analysis unit, a model optimization unit and a model application unit, wherein the data fusion unit is used for collecting and cleaning multi-source heterogeneous data and performing data correlation analysis; the model analysis unit is used for deeply analyzing a data center and making a corresponding analysis model according to a business scenario; the model optimization unit is used for acquiring a model selection optimization scheme and a characteristic change scheme through monitoring, comparison and analysis for the analysis model; the model application unit is used for realizing fusion of the trained model or processed data with tools and systems of an e-commerce platform. Travellers are precisely differentiated and the special analysis models are established with a distributed deep learning algorithm through collection and fusion of traveller data on the basis of a big data technology, and the smart precision marketing system is constructed by tracking the model effect and optimizing the model continuously.

A system and method for providing targeted marketing to a user based on the user's social media interaction. The system includes one or more computing platforms providing computer-automated functionality performing method steps for accepting a digital media and digital media related data from a publisher, generating associated information unique identifiers, monitoring social media networks for member-user rankings of the digital media after it is posted, and communicating to a member-user targeted marketing information based on the user rankings. A data storage device persists the digital media, digital media related data, and information unique identifier, which may include a linking hash character, a unique identifier, an account identifier, and/or social media network system-defined elements. The publisher selects digital media and information representing digital media elements, and posts the digital media on the social media network website. Edits, if applied to the selected digital media, are persisted in the data storage.

The invention relates to a multi-enterprise and multi-user screen dividing, switching, emerging and interacting method facing to service information. The method comprises the following steps that a user registers within an application program client side on mobile equipment to issue a service information inquiry request; a data network arranged at an operator side detects an information transferring request issued by a mobile client and builds the data connection between the mobile client and a cloud service capability platform arranged at an enterprise side; an information management service module of the cloud service capability platform arranged at the enterprise side queries and returns an information content related to the current login user, wherein the information content is displayed by page, and each page of the information content corresponds to the information of one enterprise; and the client side carries out information exchange with the corresponding enterprises by page after receiving a service information list returned from the cloud service capability platform arranged at the enterprise side. According to the method, the service information of the plurality of related enterprises can be checked by the user by one requirement, so that the information can be conveniently and uniformly managed and queried, the user resource can be shared by the enterprises to some degree, and the breadth of the advertisement, the service and the precision marketing can be conveniently expanded.

The invention discloses a precision marketing system, which comprises an information editing and generation module for carrying out automatic editing according to information and data input by background personnel and inserting a push link to form a data packet; an information pushing module for sending the data packet generated after automatic editing to a mobile terminal of a specific user; a user information receiving module for receiving the data packet sent by a system server, a user voluntarily deciding to process the pushed data packet and sending processing behavior information to the system server; an information calculation module for receiving and calculating response behavior information of the user on the data packet according to the processing behavior information of the user and through an embedded code monitoring mode; and an information processing and calculation module for carrying out correction or supplement on user class grouping attributes with one or more data of stealth properties in the response behavior information of the user being taken into consideration, and meanwhile, updating the corrected or supplemented user class grouping attributes in the information pushing module. The system can track change of attributes of the users and push marketing advertisements meeting the attributes of the users in time.

The embodiment of the present invention provides an information push method and device. The information push method comprises the steps of obtaining the geographical location information of a user terminal; when the user terminal is determined to enter a preset area according to the geographical location information of the user terminal, obtaining the mobile data of the user terminal in the preset area, wherein the mobile data at least comprises one of the distance with an appointed place, the stay time and a mobile distance; according to a preset information push strategy, searching the to-be-pushed information matching the mobile data of the user terminal; pushing the to-be-pushed information to the user terminal. According to the embodiment of the application, the information accurate push is realized, the accuracy of an information push object is improved, thereby achieving the precision marketing purpose of a merchant to a user, and realizing a better business effect. Moreover, the method avoids the information batch sending in a conventional mode and aiming at a lot of users, the transmission of the information amount between the terminals is reduced effectively, and the network resources are saved.

The invention discloses a potential customer identification method, electronic equipment and a storage medium, and the method comprises the steps: obtaining product sales data, and obtaining the datainformation of a customer from a data information platform according to the personal information of the customer; establishing corresponding label data according to the data information of the customer; matching all the user personality labels of each customer with the information of the products purchased by the customer, and taking the matched user personality labels as training samples; establishing an artificial intelligence identification model by adopting a machine learning algorithm according to the user personality label; training the artificial intelligence identification model by using the training sample; and obtaining to-be-identified user label data and inputting the to-be-identified user label data into the artificial intelligence identification model to judge whether the user is a potential customer. The daily data information of the user can be analyzed and processed to obtain the matching relationship between the personalized label of the user and the information of the product purchased by the user, so that the intelligent identification of the potential customer is carried out through the artificial intelligence identification model, and the product dealer is helped to realize precision marketing.

The embodiment of the present application provides a method and device for recommending orders. According to the division information of the geographical area stored in advance, the historical order data is divided to obtain the historical order data set corresponding to the array and several sub-areas in the geographical area; according to the user information , to classify the users in the sub-area; by analyzing and processing the historical order data of similar users in the same sub-area, the hot sales data of the goods and the reference standard box information are obtained, and the reference standard box information is combined with the distributor’s inventory The standard box information to be recommended in the data is matched, and the recommended order is generated and pushed to the user. Using the order recommendation method provided in this application can help users quickly and accurately obtain goods based on standard boxes that meet their own needs, and improve user experience. At the same time, since the matching degree is limited when the recommended order is generated, logistics resources are saved to a certain extent, and it is conducive to the precise marketing of the brand owner or distributor of the product.