114results about How to "Improve marketing efficiency" patented technology

Abstract of the Disclosure

An innovation is marketed to members in a target community. An influence network is determined for the members in the target community, and the opinion leaders are identified from among the members using the influence network. The innovation is presented to the opinion leaders, and assistance is provided with the dispersion of evaluations of the innovation from opinion leaders to the members in the target community by using the influence network.

The invention discloses a core algorithm of a blockchain Internet model (golden monkey model) of across-chain transaction. The model is a fully distributed and multi-chain network structure which can more easily carry out expansion, extension and fault tolerance than a traditional centralized structure. Each chain maintains own consistency, the consistency between chains is maintained by a fully distributed mechanism so as to break through the restriction of a centralized model, all chains can be operated in parallel, and transaction efficiency and network operation speed can be improved. The model is a new financial market structure which can be expanded, a financial department can easily enter or level at any time, and a large-scale network and a high transaction amount are supported. The method comprises a participating chain and a middle chain, wherein he participating chain and the middle chain both can be one or one group of financial mechanisms, and the across-chain transaction can be realized. The invention is the core algorithm for the transaction between the chains, especially a protocol algorithm that the middle chain assists in at least two participating chains to carry out mutual transaction, and a situation that a center mechanism maintains the consistency of the whole network is avoided.

A betting exchange system receiving a plurality of bet requests backing a given outcome, each backing bet request specifying a price and a size at which an originator of the request is prepared to bet that the given outcome will occur. The betting exchange system receiving a plurality of bet requests laying the given outcome, each laying bet request specifying a price and a size at which an originator of the request is prepared to bet that the given outcome will not occur. The betting exchange system aggregating backing bet requests specifying the same price, aggregating laying bet requests specifying the same price, automatically matching a received backing bet request with individual or aggregated laying bet requests to complete a betting transaction, and automatically matching a received laying bet request with individual or aggregated backing bet requests to complete a betting transaction.

The invention discloses a double chain-type cross chain trading Internet of blockchains model (golden monkey model) core algorithm. Different from the traditional centralized architecture, the model has a fully-distributed and multi-chain network architecture. Due to the fully-distributed architecture, easier expansion, easier extension and easier fault tolerance are realized than the existing architecture. Each chain maintains the self consistency, the consistency between chains does not need to be managed by a central organization but is maintained by a fully-distributed mechanism. Limitations from the previous centralized Internet of blockchains (chain network, in short) are broken, all chains can operate in parallel on the model, and the trading efficiency and the network operation speed are improved. The model has a new financial market architecture, extensibility is realized, a financial unit can randomly and easily enter or leave the network, and the large-scale network and a high transaction volume are supported. The model comprises participant blockchains and inter-chain blockchains, the participant blockchains or the inter-chain blockchains can be one or one group of financial institutions, the inter-chain blockchain has a double-chain structure, a trading record and a balance account are separated, and cross chain trading is realized. A core algorithm for trading between chains, particularly, a protocol algorithm of enabling the inter-chain blockchains to assist two or more than two participant blockchains for mutual trading is provided, no centralized mechanism is needed, and the consistency of the whole network is maintained.

The invention relates to the field of mobile Internet e-commerce and discloses an intelligent business system based on localization. The intelligent business system based on localization achieves the purposes of localized purchase of consumers and efficient operation of merchants. The intelligent business system based on localization comprises an intelligent business platform (business platform for short) based on cloud computing, and an intelligent terminal application (terminal application for short) based on location-based services. The business platform is the core of the whole system and is used for providing information management and trading management of commodities, business data mining and business process management. The terminal application enables a user to have access to the intelligent business system anytime and anywhere, provides commodity inquiry and trading services for the consumers based on user locations and provides shop management, consumer data mining and intelligent marketing services for the merchants. The intelligent business system aims at providing convenience for purchasing of local life of the consumers, reducing operating cost for the local merchants, improving the marketing efficiency and enabling the consumers and the local merchants to be mutually benefited and win.

The invention discloses a method of constructing a customer grouping model, which is suitable to be executed in a computing device. The method comprises the following steps: obtaining the attribute data of a plurality of users, the historical behavior data of each user on a target website within a predetermined period and the short message recommendation record sent by the target website to the users within the predetermined period; calculating multiple feature values of each user according to the attribute data and the historical behavior data obtained, and constructing the multiple feature values of each user into a feature vector; marking the purchase attribute category of each user according to the short message recommendation record and the historical behavior data obtained; constructing a training set by taking the feature vector of each user and the corresponding purchase attribute category as a sample; and with the feature vector of each user as input and the purchase attributecategory as output, training the training set by using a predetermined algorithm to obtain the customer grouping model. The invention further discloses a corresponding computing device.

A commodity exchange mode in an information network environment: The invention relates to a commodity exchange mechanism of group bargaining in the information network environment, as well as a relevant implementation method and a system structure. The invention aims at the following problems that are universally utilized in prior electronic commerce (in particular in B2C, B2B and C2C modes): Buyers are in weaker situations in market in commodity exchange mechanism and relevant implementation method, and market efficiency is rather low and etc. The invention submits a commodity exchange mode with rather high efficiency in the information network environments. Divide the commodity exchange process into the following two stages: Group bargaining stage and remaining order bidding stage. In the group bargaining stage, the conclusion policies include demands polymerization and graded bargaining conclusion. The invention provides the commodity exchange mechanism to enlarge sales opportunity of commodity and products (services) and increase sales speed, considerably increase buyers' negotiation situation levels, increase consumers' effects, and further increase exchange success rate, lower exchange cost and improve market efficiency.

A method and system for trading long and short inventory positions in securities for participants involves systematically obtaining long and short position information from each participant, processing the information in accordance with participant-controlled parameters, matching the participants' short positions to other participants' long positions and feeding the resultant activity back to each participant in the form of system-generated repo and reverse repo trades, while maintaining the anonymity of the participants. Another aspect enables trading baskets of serial overnight trades, each of which is treated as an independent overnight repo/reverse trade for financial reporting purposes, with corresponding notional amount, that involves, for example, cancellation of a basket trade and creating in its place a series of overnight trades corresponding to the basket trade.

The invention discloses a collective bargaining commodity (service) transaction mode under the information network environment. The invention relates to a collective bargaining commodity transaction mechanism under the information network environment as well as a realization method thereof and a system architecture. Aiming at the problem that the commodity transaction mechanism, widely used in the prior electronic commerce, that an electronic commerce platform (website) or a member initiates and invites the recorded persons who have the same purchasing intention to made a face-to-face negotiation with the provider to reach a deal, and the realization method thereof have a plurality of limits, the invention puts forward a commodity transaction mode with higher efficiency: namely one or more than one buyer and a special seller who take part in the purchasing negotiate in a virtual network negotiation room in a jointly appointed time or determine the final price or the favorable conditions of the transaction through a quotation and matching system under the information network environment. The commodity transaction mode provided by the invention can increase the successful chance of the transaction, quicken the sales progress, increase the effectiveness of the consumer, decrease the transaction cost and improve the market efficiency.

The invention relates to the technical field of financial insurance, in particular to a product data pushing method based on knowledge relation mining and related equipment. The method comprises the steps of accessing a user insurance policy database, acquiring multiple user IDs and a user address book, and marking the user address book to generate an address book ID; obtaining a user portrait corresponding to the user ID from a user portrait database, and generating a user knowledge map; defining each entity in the user knowledge graph as a node, calling a preset community mining algorithm, and carrying out community division on the plurality of nodes to obtain a plurality of optimal communities; and obtaining attributes of all nodes in the community, screening out one or more items withthe most common characteristics, and pushing the product data corresponding to the common characteristics. According to the invention, a community mining algorithm is introduced, users are divided into a plurality of communities, product marketing is carried out by using common attributes of the users based on the characteristic that personnel in the communities have homogenization, and the insurance marketing efficiency is improved.

System and method of automatically generating recommendation digital content works to reader based on the reading difficulty thereof, and more specifically linguistic difficulty. According to embodiments of the present disclosure, the reading difficulty level of each reference digital content work or candidate recommendation digital content work is graded through an automated process by using a difficulty model. The difficulty model can be established through a machine learning process and correlates reading difficulty with a plurality of attributes, including linguistic attributes and/or reader behavior attributes.

The invention discloses a method for identifying user interest. The method includes acquiring training samples and test samples; extracting characteristics of the training samples and the test samples by the aid of first preset algorithms and computing the optimal model parameters of logic regression models according to the characteristics of the training samples by the aid of iterative algorithms; evaluating the logic regression models with the optimal model parameters according to the characteristics of the test samples and the areas under ROC (receiver operating characteristic) curves (AUC) and acquiring first theme classifiers by means of training; determining themes of text data by the aid of the first theme classifiers, computing scores of the themes of the text data according to the logic regression models with the optimal model parameters and computing confidence scores of the themes according to second preset algorithms. Training is carried out according to the text data to obtain corresponding topic models, and the topic models are manually annotated to obtain the training samples. Users are interested in the themes with the computed confidence scores. The invention further discloses a device for identifying the user interest and a computer readable storage medium. The method, the device and the computer readable storage medium have the advantages that the user interest can be identified, and accordingly enterprises can be assisted in accurately positioning potential clients.

The present disclosure is directed toward systems and method for limiting frequency of marketing content provided to users. For example, systems and methods described herein involve tracking a total quantity of marketing content received by a particular user for a marketing campaign. In particular, the systems and method described herein involve tracking a total quantity of marketing content received by a user across multiple devices and/or from multiple publishers. The systems and methods further involve preventing the user from receiving marketing content beyond a maximum allowable quantity of marketing content for the user within a predetermined period of time.

The present invention discloses an international logistics e-commerce marketing platform. The platform comprises an external device and a marketing platform server, and the output end of the external device is connected with the input end of a data collection control module; the input end of the marketing platform server is connected with the output ends of a data update module and an input module; the output end of the marketing platform server is connected with the input ends of an information platform module, a logistics location module, a cargo enquiry module, a shipping space module, a picking module, a storage module, a custom declaration module, a distribution module, a manual service module, a language switching module, a supplier authentication module and a client authentication module; and the marketing platform server is connected with a RAM storage, an MRAM storage, a database, a data statistics module and a data analysis module. The international logistics e-commerce marketing platform has an intelligent manual service function, facilitates the operation of the e-commerce marketing platform, timely updates the related information through the data update module and ensures the update of the information in time.

The embodiment of the invention provides a member integral data processing method, a device, a computer device and a storage medium. The method comprises the following steps: acquiring the integral data of the member, wherein the integral data comprises the consumption amount of the member and the consumption times of the consumption in a preset time period; According to the integral data of the member, obtaining new points of the member according to a preset integral rule of the member including the consumption amount and the consumption times; And adding the added points and the original points of the member to obtain the total points of the member. The embodiment of the invention presets a member reward rule including the consumption amount and the consumption times through a computer member system, After each member consumes, the server obtains the new points and total points of the member in time, and processes the data of the member points by combining the consumption amount andthe consumption times, which can improve the utilization rate of the computer member system resources, reduce the marketing cost, and improve the marketing efficiency.

The invention is suitable for a data processing field and provides a selection method for a telemarketing time period, terminal equipment and a medium. The method includes the following steps: obtaining portrait data of a target client; extracting various attributes included in the portrait data, and respectively determining assessment values corresponding to each of the attributes; reading attribute values of each of the attributes in the portrait data; determining corresponding weight values of the attribute values in each preset time period; for each time period, calculating the probabilityvalue of incoming call answering of the target client during the time period according to the corresponding assessment values corresponding to each of the attributes and the corresponding weight values of the attribute values in the time period; and determining the time period during which the incoming call answering probability value is highest, and determining the time period as an optimal telemarketing time period of the target client. According to the method, the marketing efficiency is improved, and the client satisfaction is improved; and telemarketing seats no longer need to rely on client subjective appointment time to contact the client, thus increasing the initiative of sales promotion.

A method for searching target clients, applied to a mobile device coupled to a network, is provided. A target position and a target time are generated by a positioning unit and a time generating unit of the mobile device, respectively. A target clients search message is generated according to keywords input into the mobile device, the target position and the target time and then transmitted to a server coupled to the network through the network. Then a search result transmitted by the server through the network is received. The search result comprises at least one of a target clients amount, a target clients density and a target clients occurrence probability, which are retrieved from at least one social networks data and corresponding to the keywords, the target location and the target time. A map combined with the search result is displayed.

The invention relates to the field of commercial bank loan transaction, particularly to an internal-data-mining-based method and system for loan client obtaining, loan implementation and after-loaningmanagement for commercial banks, wherein the method and system are especially suitable for loans of middle and small-sized enterprises. Therefore, problems of difficult financing of middle and small-sized enterprises, difficult loan client obtaining and after-loaning risk control of the developed tax and loan transaction, limited tax data, dimension, and cycle, and limited loan objects can be solved. The invention designs a loan management method and system. Before loan transaction, classification, collection, and statistics of tax payment information of taxpayers are carried out based on internal data of commercial banks and loan limits are evaluated; during loan transaction, docking of effective clients is carried out actively, the loan limit is determined and loans are issued through channels like an online one based on other information query under authorization of tax payers; and after loan transaction, dynamic post-loan risk monitoring is carried out by means of tax-based loan control. Therefore, the development of small and medium-sized enterprises is promoted and the national financial revenue is increased.

The invention discloses a face recognition control system comprising a face recognition module, a voice input module, a fingerprint recognition module, an iris recognition module, a data updating module, a database comparison module, a datamation processing module, an intelligent recognition module, a central processing module, a power supply module, a protection circuit, a data conversion module, a data image display module, a video output module, a voice conversion module, a voice output module, a second sub-control module, a data transmission module and a remote control module. The face features are captured through photographing, the age range, the sex and other factors of the user are rapidly analyzed and the commodities are automatically and accurately recommended to the user to be selected according to the intelligent analysis result so that the merchants are assisted to realize precise marketing, active judgment and precise advertising can be performed by using the face recognition technology, the marketing cost can be reduced, and the application of the biological feature recognition technology proceeds to the "field of user information mining" from the "field of information comparison authentication".

The invention discloses a face recognition interactive marketing system, which comprises a control module, an image acquisition module used for acquiring face data, a face feature information extraction module used for extracting face feature information in the face data, a data analysis module used for performing data analysis on the face feature information extracted in the face feature information extraction module, a power supply module used for providing electric energy and a data storage module used for storing the data. According to the invention, face features can be captured through shooting, factors such as the age range and the gender of a user are analyzed quickly, and commodities are recommended automatically and accurately according to the intelligent analysis result for the user to select, thereby helping merchants to realize accurate marketing, realizing active judgment and accurate advertisement delivery by using face recognition technologies, not only is conducive to reducing the marketing cost, but also improves the marketing efficiency. Meanwhile, it also means that biometric identification technology applications proceed from the field of information comparative authentication to the field of user information mining.

The invention discloses a multi-target bilateral matching method in a medium-and-long-term power market. The method comprises the steps of obtaining quotation and reporting data of a market subject inmarket transaction; constructing a multi-objective matching model by maximizing social welfare, promoting maximization of new energy consumption and promoting maximization of market transaction electric quantity; constructing a market matching constraint condition; and obtaining a Bellman equation by using a dynamic planning method, finally obtaining an optimized matching result through calculation of the simplified target function, and performing pairing transaction clearing on users participating in the market according to the matching result. The social welfare of market transaction, the transaction amount of the market and the new energy consumption amount of the market are considered at the same time, the operation risk of the market is reduced, and the efficiency of the market is improved.

A novel all-purpose card unattended management system comprises a contract management system, a client cooperation system, an automatic card making system, a queuing and calling management system, a gate sentry management system, a weight house system, a quantitative loading system, a video monitoring system, an ERP system, a mobile platform docking module and a WeChat official account docking module. The system has the advantages that the influence of low automation and informatization degrees on enterprises in the marketing process of oil products in the petrochemical industry is avoided, electronization of whole plant data is achieved, management loopholes are avoided, the working environment of staff is improved, and the marketing management efficiency of companies is improved. According to the system, an offline manual process is upgraded into an online process, so that standardization of a marketing process is achieved, the disposal time of each link is shortened, and the marketing efficiency is improved; manual record forms are upgraded into electronic storage data, the data is automatically and reliably collected and automatically processed, the data authenticity is improved, data archiving is facilitated, checking is simple and rapid, and the labor intensity of personnel is reduced.