76results about How to "Increase purchase rate" patented technology

The invention belongs to the technical field of multimedia and in particular relates to a method and a system for recommending music. The method comprises the following steps of: a, accessing a page server through a mobile terminal, browsing page information, and requesting a resource server to acquire page data which is required, wherein the page data comprises music resources and music recommending data; b, recording behaviors of users on accessing of the page server, and recording music acquisition behaviors of the users on the resource server and music resource information which is acquired; c, acquiring behavior records of the users, and classifying the users according to the behavior records; and d, classifying songs in a song classification mode, and generating corresponding song recommending lists according to different user types. By adoption of the invention, the users can more quickly and more effectively listen to favorite songs, so that personalization requirements of the users are met, and a contradiction between mass of the songs and the personalization of user favor is solved.

The invention discloses a method and a system for screening search results. The method comprises the following steps of: 1, acquiring a keyword input by a user and a geographical position coordinate of the user; 2, performing word meaning judgment on the input keyword and judging whether the keyword is a phrase having a determined meaning; 3, if the input keyword is the phrase having the determined meaning, screening out data which is the same as the phrase from a database and turning to the step 5; 4, if the input keyword is an undetermined phrase, performing keyword matching on a search phrase, screening out data matched with the phrase, and turning to the step 5; and 5, sequencing the screened out data according to the geographical position information of the user and outputting the search results. By the invention, search information can be inquired according to the geographical position information of the user; and the personalized search results of different users can be met.

The invention belongs to the field of augmented reality, and relates to an augmented reality display method and device, electronic equipment and a computer readable storage medium. The method comprises the steps of obtaining entity information in a collected real scene image; For the three-dimensional model of the virtual article, extracting size information of the three-dimensional model; Determining display parameters of the three-dimensional model according to the entity information and the size information; And displaying the three-dimensional model image of the virtual article in the realscene image based on the display parameter. According to the invention, the display parameters of the three-dimensional model of the virtual article are determined through the entity in the real scene image, so that the user can accurately see the adaptation condition of the virtual article and the real scene, more real experience is brought to the user, the purchase rate is improved, and the return rate is reduced; Furthermore, man-machine interaction is carried out through gesture actions, interestingness is increased for online shopping of the user, the user can have immersive immersion, the shopping mode is more flexible and accurate, and the conversion rate is increased.

The embodiment of the invention provides an e-commerce platform commodity recommendation method and device, a server and a storage medium. The e-commerce platform commodity recommendation method comprises the steps of obtaining user behavior data of a first user; determining a user portrait of the first user based on the user behavior data; training a preset recall model based on a first preset algorithm; training a click prediction model based on a second preset algorithm; determining a recommended commodity set according to the user portrait and the preset recall model, wherein the recommended commodity set comprises a plurality of recommended commodities; sorting a plurality of recommended commodities in the recommended commodity set according to the user behavior data and the click prediction model; and returning a sorting result to the commodity recommendation list and displaying the commodity recommendation list to the first user. According to the invention, the effect of providing different recommended commodities for different users to improve the purchase rate of the users is achieved.

The invention discloses a cross-commodity-category commodity recommendation method and device. The method comprises the steps that user transaction data including first commodity information are acquired; a pre-established commodity association data table is queried according to the user transaction data to acquire at least one second commodity information which is associated with the first commodity information and belongs to a different commodity category, wherein the commodity association data table is acquired by statistical analysis based on commodity transaction historical data; and commodity recommendation is carried out according to at least one second commodity information. The association relationship of cross-commodity-category commodity information is established by pre-establishing the commodity association data table. The commodity association data table is queried to acquire at least one second commodity information which is associated with the first commodity information and belongs to a different commodity category, and cross-commodity-category commodity recommendation is realized. Barriers between different commodity categories are broken, and the purchase rate ofrecommended commodities is improved.

The embodiment of the invention provides a method and device for recommending a commodity combination, electronic equipment and a readable storage medium. In the implementation process, firstly, feature information of multiple sets of commodity combinations is obtained; the feature information of each commodity combination is input into a combination probability prediction model in sequence to obtain the probability that each commodity combination is purchased by a user; and a target commodity is determined according to the shopping behavior of the user, all commodity combinations containing the target commodity are selected from the plurality of commodity combinations, and the commodity combination with higher probability of being purchased by the user is recommended to the user.

The invention belongs to the technical field of internet application, and discloses interactive display equipment and a content interaction realization method thereof. The display interface layout of the display equipment includes a basic content playing area and a supplementary content playing area. The basic content, including streaming media videos, remote real-time live broadcasting, real-time equipment synchronization and combination of one or multiple pictures or webpages, is displayed in the basic content playing area. The supplementary content is displayed in the supplementary content playing area, and the supplementary content is related commodities and / or services which are generated based on the basic content and associated with the basic content in real time. The display equipment is accessed to a communication network and can be used for completing electronic commerce transaction. The basic content is from the internet or a basic content server. The supplementary content is from the internet or a supplementary content server. Dynamic binding of commodity displaying and the video content can be realized so that appropriate adjustment and changes of the commodities are performed along with video playing and the interactive behavior of users, and user experience can be enhanced.

The present invention discloses an oven cavity lower portion panel structure of microwave oven, It includes oven cavity for placing cooking material, lower portion panel set in the lower portion of oven cavity and formed into the appearance of lower surface of oven cavity and stirring fan which is fixed on the upper surface of lower portion panel and used for dispersing microwave irradiating oven cavity, on the lower portion panel of oven cavity a forming portion is set, and said stirring fan can utilize the forming portion to reflect microwave towards several directions.

The invention discloses an interactive footwear sales management system based on a multifunction touch screen and a realization method. The system comprises multiple store terminals, a wireless AP, a unique identification ID, multiple mobile terminals, and a backstage server, wherein the multiple store terminals are used for providing service interfaces for new footwear pre-sale and footwear customization; the wireless AP is used for covering a specified launching area and is connected onto the multiple store terminals; the unique identification ID is used as a service ID identification interface of the multiple store terminals; the multiple mobile terminals are used to access the service interface through the unique identification ID and performs footwear purchasing; and the backstage server is used for organizing and storing the service data of the multiple store terminals. The store terminal integrates an advertisement, three-dimensional human data measurement interaction, new product pre-sale and crowd funding, cross-store sales, OA and training, a mobile cloud store and the like as a whole, ineffective capacity and stock removal can be realized, the operation efficiency of a supply chain is improved, and accurate brand positioning can be realized. Besides, through interactive experience of the touch screen, a consumer can be helped to purchase proper footwear conveniently.

This invention discloses an advertisement sending system including a customer unit end 1 storing a software body 7, its receiving software 5 and a display software unified with it, a server end2 storing an advertisement sending software 8 and a WEB server 4-4 storing advertisement information to send the advertisement data for getting its information to the customer unit end1. The system sends various pieces of advertisement information via users, not increasing session cost and increasing the shopping occupation.

The invention provides a commodity recommendation method and device and electronic equipment, and the method comprises the steps: obtaining the information of a commodity selected and purchased by a user; determining a recommended commodity set based on the purchased commodity information, wherein the recommended commodity set is determined based on the co-occurrence frequency of the purchased commodity and other commodities in historical order data; and recommending commodities based on the recommended commodity set. When a user selects and purchases a commodity, after the information of the selected and purchased commodity of the user is obtained, a recommended commodity set corresponding to the commodity information can be determined based on the commodity information, the recommended commodity set is determined based on the co-occurrence frequency of the selected and purchased commodity in a historical order and other commodities, and the commodity is recommended based on the recommended commodity set. According to the invention, a large amount of user behavior data is used, and commonly purchased commodities are placed together and displayed, so that the purchase rate of the user can be improved, and the sales amount is increased. And the time for searching the wanted commodity is saved for the user, so that the time is greatly saved, and the time cost of the user is saved.

A commodity pushing method based on emotion recognition comprises the steps of establishing connection with any shopping platform, acquiring each piece of commodity information browsed by a user and aplurality of user images when the commodity information is browsed, and associating each piece of commodity information with the plurality of user images; respectively extracting face images from theplurality of user images; recognizing a micro-expression of the user according to each face image; analyzing the emotion type corresponding to each micro-expression, judging the satisfaction degree of the user to the commodity information according to the emotion type, and establishing personal historical data of the user corresponding to the shopping platform according to each piece of commodityinformation browsed by the user on the shopping platform and the corresponding satisfaction degree; and integrating the personal historical data of the user corresponding to different shopping platforms to obtain personal integrated data, and determining a to-be-pushed commodity corresponding to the user according to the personal integrated data. According to the embodiment of the invention, emotion recognition can be carried out when the user browses the commodity, and scientific and accurate user data can be provided.

A commodity information display method and device are provided. The commodity information display method includes: in color space, a first number of color points is selected as representative points, and the representative points are evenly distributed in the color space; at least one traversal path which is composed of all the representative points is determined; the distance between two adjacent representative points on the traversal path is less than a first distance; the commodity information, in accordance with the distance between the color point corresponding to the commodity and the representative point, is matched to the corresponding representative point, and an index is established; according to a search request of a user, the commodity information matching the representative points and conforming to a search condition is searched on the basis of the established index; and the searched commodity information, in accordance with the traversal path arrangement, adds to a commodity information display page. According to the technical scheme of the invention, the commodity information can be displayed in the color gradient and circular traversal manner, so that the attractiveness of the commodity information to the user is enhanced and the purchase rate is improved.

The invention discloses a system and a method for recommending waste industries on the basis of diversified mixed modes. The system mainly comprises modules A, modules B and modules C. Effects of three mixed recommending modes of correlation recommending, hotspot recommending and TopN recommending mode mainly can be realized by the modules A; effects of initializing recommendation results mainly can be realized by the modules B; effects of filtering, result sorting, recommending explaining and ultimate recommendation results mainly can be realized by the modules C. High weights are set for the correlation recommending and the TopN recommending for common users of websites, and secondary weights are set for the hotspot recommending for the common users of the websites; the high weights are set for the hotspot recommending for users without optional records, and adaptive population to which the users belong is analyzed, so that corresponding weights can be set for the correlation recommending. The system and the method in an embodiment of the invention have the advantages that recommendation results can be accurate, the purchase rates of recommended commodities can be increased, and accordingly the conversion rates of order forms of commodities can be increased.

The invention discloses a financial product pushing method, device and equipment based on big data and a storage medium. The method comprises the steps of obtaining personal information of a client tobe pushed; classifying the clients to be pushed according to the personal information, and determining the risk level borne by the clients to be pushed; and searching a target financial product in apreset relation mapping table according to the risk level, and pushing the target financial product in a preset form. According to the invention, the personal information of the client is acquired, and the client is classified through the personal information, so that the risk bearing level of the client is determined, and the corresponding financial product is pushed according to the risk level,thereby enabling the pushed financial product to better meet the actual demand of the client, and improving the purchase rate of the financial product.

The invention provides a span-based fine-grained sentiment analysis method, and relates to the technical field of sentiment analysis. According to the invention, a sentiment analysis model based on aspects is established by selecting a sentiment analysis data set, the sentiment analysis model based on aspects is trained through a loss function and a training data set, and sentiment analysis of thetext is achieved by making the test data set to be subjected to sentiment analysis pass through the trained sentiment analysis model based on aspects. The network model provided by the invention is used for extracting aspects and corresponding sentiment polarities, and the model is a simple and effective joint model for extracting sentence aspects and corresponding sentiment polarities for sentiment analysis tasks. The model uses BERT as word embedding, then uses a loop control unit to extract the representation of each subtask, uses an interaction layer to consider the relationship between them, and finally performs aspect item extraction and sentiment analysis.

The invention discloses a natural language processing-based social network advertisement pushing method. The method includes the following steps that: the social network data of a user are acquired; word segmentation is performed on the social network data, so that word vectors can be generated; a plurality of prediction models are trained so as to be used for predicting different user attributes,user profiles are generated; user profile vectors are generated on the basis of the user profiles, commodity vectors are generated for commodities according to different dimensions; and commodities with high click rates of users who have high user profile vector similarity are calculated, commodities which have high commodity vector similarity with the commodities with high click rates are calculated and are pushed to users who have high user profile similarity. The method is simple and efficient. With the method adopted, the user profiles are automatically generated according to social network information, and the accuracy and click rate of advertisement delivery can be improved.

The invention discloses a mall system. The system comprises a home page section, a my section and a discount section, the home page section comprises a commodity display module, a commodity detail module and an ordering module; the ordering module is used for providing an order confirmation page after an ordering link of the commodity detail module is triggered, the ordering module comprises a goods taking mode unit used for providing a goods taking mode selection link, a sending address input or selection link and a goods taking store selection link in the order confirmation page, and the goods taking mode comprises headquarters goods delivery or store self-pickup; an order checking unit; an ordering confirmation unit; the my section comprises an order management module, and the order management module is used for generating order content according to a goods taking mode of an order after the ordering unit is confirmed to settle fees and tracking the order progress until the order isconfirmed to receive goods. The discount section is used for centralizing promotion activities of commodities. The operation guidance is good, the operation is convenient, and the preferential purchase and different goods taking requirements of consumers can be met.

The invention discloses an information processing method and an electronic device. The method comprises the following steps: acquiring activity characteristic information of a user; determining whether the characteristic information meets a preset condition, wherein the preset condition represents the degree to which the user is interested in an area; and if the characteristic information meets the preset condition, generating a push instruction for acquiring a related object in the activity area of the user. The information processing method and the electronic device are used to solve the technical problem on how to improve the user's purchase rate. Through the analysis of user behavior, the user's purchase intention is determined, corresponding push information is generated in a targeted manner, and thus, the purchase rate is increased.

The invention discloses an intelligent recommendation method for financial products. The method comprises the following steps: firstly, obtaining a similarity score between each financial product anda user group; then calculating an activity score of each financial product; finally, forming a recommendation result based on the activity score and the similarity score. The similarity between eachfinancial product and the user group is considered, the sensitivity of the user group to the activity is also considered, and the recommendation accuracy is obviously improved. Moreover, the intelligent recommendation method considers the sensitivity of the user group to activities, so that financial products with activities such as interest can be recommended to the user group, the purchase willingness of the user is improved, and the purchase rate of the financial products is finally improved.

The invention provides a cross-commodity-category commodity recommendation method and device, and relates to the technical field of information push, and the method comprises the steps: obtaining a first purchase list of a first user, wherein the first purchase list has a first commodity and a second commodity, and the first commodity and the second commodity are in different commodity categories;obtaining a second purchase list of a second user; obtaining a first label of a first user; obtaining a second label of a second user; when the first label and the second label have a first association relationship, obtaining a first recommendation combination; obtaining a third purchase list of a third user, wherein the third purchase list contains the first commodity; obtaining a third label ofthe third user; and when the third label and the first label have a first association relationship, or when the third label and the second label have a first association relationship, recommending the second commodity in the first recommendation combination to the third user, thereby improving a commodity recommendation effect.

The invention discloses an insurance product development method, a device, a terminal and a storage medium. The method comprises the following steps: collecting the browsing frequency, the product purchasing frequency and the demand feedback score of customers of each insurance product in an insurance product database; Performing the following steps for each insurance product: obtaining a first predetermined weight of the customer browsing frequency, a second predetermined weight of the product purchasing frequency and a third predetermined weight of the demand feedback score; Calculating according to a customer viewing frequency, a product purchasing frequency, a demand feedback score, a first predetermined weight, a second predetermined weight and a third predetermined weight to obtain acomprehensive score for each insurance product; Obtaining the preset optimal products with the highest comprehensive score in all insurance products, and extract the highlights from all the optimal products; Loading all product highlights into the default insurance template to generate the target insurance. The invention satisfies the insurance demand of the customer and improves the purchase rate of the target insurance product.

The invention relates to a glasses fitting method, device and system. The glasses fitting method comprises the following steps: receiving face information and glasses try-on information sent by a client; Determining face coordinates of each part of the face according to the face information; Generating a three-dimensional glasses model according to the glasses try-on information; Determining a wearing position of the three-dimensional glasses model according to the face coordinates; Generating a target face image of wearing glasses according to the face coordinates, the wearing position and the three-dimensional glasses model; Sending the target face image to a client; Receiving the order placing information sent by the client, and generating first order management information; And sendingthe first order management information to the client side and the merchant side. By the adoption of the technical scheme, a client can directly place an order to purchase glasses through a mobile phone and the like, the purchase convenience is higher than that of a physical store, virtual try-on can be conducted, the client can experience the purchase behavior generated after virtual try-on, andthe purchase rate of the glasses can be increased.

The embodiment of the invention discloses a commodity retrieval method and device, computer equipment and a storage medium. The method comprises the following steps of acquiring the commodity information to be retrieved; retrieving a corresponding target commodity in a preset database by taking the commodity information as a limiting condition; and when the target commodity does not exist in thedatabase, sending the commodity information to a target supplier server, so that the target supplier server introduces the target commodity into the database after retrieving the target commodity. When the target commodity retrieved by the user does not exist, the commodity information is sent to the target supplier server to enable the third-party server to retrieve, so that cross-platform retrieval is realized, the retrieval range is expanded, and on one hand, for the user, the requirements of the user can be met in time, retrieval is avoided, and energy is saved; on the other hand, for merchants, good shopping experience can be provided for the users, and the purchase rate is increased.

The invention discloses a remote control e-commerce information interaction system. The system includes a central processing system, the input end of the central processing system is electrically connected with the output end of the shop management system through a wire. The input end of the central processing system is electrically connected with the output end of a customer management system through a wire. The output end of the central processing system is electrically connected with the input end of a classification and integration module through a wire, the output end of the classification and integration module is electrically connected with the input end of a wireless transmission module through a wire, and the wireless transmission module is in bidirectional connection with a client terminal in a wireless mode. The invention relates to the technical field of e-commerce information interaction. According to the remote control e-commerce information interaction system and method,basic information and credit of shops and clients can be registered and matched according to the information, the system and method can be put into good use according to the interest of the clients and other modes, the requirements between shops and the clients can be met at the same time, and the purchase rate of the clients is increased.

The invention is applicable to the technical field of artificial intelligence, and provides a commodity recommendation method and device, terminal equipment and a storage medium. The method comprisesthe steps: training a commodity prediction model according to the article click data and article purchase data of a user; inputting the to-be-recommended commodity data into a commodity estimation model for click estimation and purchase estimation to obtain a click estimation result and a purchase estimation result; performing recommendation value calculation according to the commodity price, theestimated click rate and the estimated purchase rate of the to-be-recommended commodity to obtain a commodity recommendation value; and performing commodity recommendation on the to-be-recommended commodity according to the commodity recommendation value. The commodity recommendation value is obtained by calculating the recommendation value according to the commodity price, the estimated click rate and the estimated purchase rate, the influence of the price factor of the commodity on commodity purchase of the user is effectively considered, the interested degree of the user for different to-be-recommended commodities is effectively distinguished, and the purchase rate of the user for the commodity is increased. In addition, the invention also relates to the block-chain technology.

An embodiment of the present invention provides a software resale method. The method comprises: a first device with a target software use right sending a resale request to obtain a distributed resale certificate; the first device sending the resale certificate to a second device; and the second device purchasing a target application by means of the resale certificate. The problem that software cannot be resold or transferred currently is solved, so that a software developer and a distribution platform can improve the software purchase rate and platform activity and increase operating income by using a proper business model.

The invention relates to a preparation method for a lamiophlomis rotata extract. The preparation method comprises the following steps: 1, taking lamiophlomis rotata herb, adding water, conducting decoction and extraction, and conducting filtration or centrifugation, concentration and elution to collect an eluant B; 2, adding activated carbon into the eluant B obtained in the step 1, stirring under the boiling condition at 50 DEG C for 0.5-2 h, and conducting still standing precipitation, filtration or centrifugation to respectively obtain a liquid part A and a solid part for later use; 3, adding ethanol into the solid part obtained in the step 2, uniformly stirring under the boiling condition at 50 DEG C, and conducting still standing precipitation, filtration or centrifugation to obtain a liquid part B; 4, merging the liquid part A and the liquid part B, conducting filtration or centrifugation, collecting a filtrate or a centrifugate, and concentrating the filtrate or the centrifugate into thick paste of which the relative density at 60 DEG C is 1.25-1.30 so as to obtain the lamiophlomis rotata extract. The lamiophlomis rotata extract prepared through the method is high in effective constituent and low in pigment content. Besides, the invention further discloses pasty non-transparent toothpaste prepared from the lamiophlomis rotata extract.

The invention discloses a user behavior data-based commodity sorting method, which comprises the steps of S1, setting user behavior weight factors, judging whether the number of the user behavior weight factors is greater than zero or not, and if so, executing S2; if not, directly ending the sorting; wherein the user behavior weight factor comprises a user click weight factor and a user collectionweight factor; S2, receiving user behavior data, and calculating a ranking score of each commodity according to a set formula in combination with a user behavior weight factor; and S3, reordering thelist item according to the ranking score of each commodity, and displaying the list item. The commodity sorting system executes the commodity sorting method, can perform secondary sorting on the listitem on the user terminal according to the behavior factor, and improves the accuracy of capturing the favorite commodities of the user, thereby improving the purchase rate of the favorite commodities of the user.

The invention discloses a network wine purchasing system and an encryption module of an encryption method thereof. The network wine purchasing system comprises a background service system, a foreground configuration system and a product page display system. The encryption system comprises an HTTPS encryption module and an SSL / TLS encryption module, and the encryption system performs TLS encryptionon both the client and the server. The encryption method of the encryption module comprises the following steps: 1, initiating an HTTPS request by the client; 2. configuring the server; 3, transmit the certificate; 4, resolving the certificate by the client; 5, transmitting encrypted information; 6, decrypting the information by a server; 7, transmitting encrypted information; 8, decrypting the information by the client to obtain the encrypted content. The invention adopts encryption security processing for the sensitive information of the customer, so that the user information can be safelytransmitted. And various activities and operation results can be timely and accurately pushed to users; the user experience and purchase rate are also greatly improved.