18results about How to "Increase purchase intention" patented technology

The embodiment of the invention provides a commodity bullet screen display method. The commodity bullet screen display method comprises the following steps: receiving a live broadcast type notification and live broadcast data of a live broadcast room provided by an anchor terminal; and starting a retrieval function for the live broadcast data under the condition that the live broadcast type is that the commodity carries the goods. And under the condition that the retrieval function is started, performing semantic recognition on audio data in the live broadcast data to obtain commodity explanation content. And obtaining a keyword of the target commodity according to the commodity explanation content. And according to the interaction data of the live broadcast room and the keyword of the target commodity, obtaining commodity bullet screen data of the target commodity. And pushing the commodity bullet screen data of the target commodity to the audience terminal, so that the audience terminal displays the commodity bullet screen. According to the technical scheme provided by the embodiment of the invention, the real-time dynamic commodity bullet screen can be generated and displayed on the display interface of the audience terminal, so that the interaction efficiency and the display effect are improved, and the commodity bullet screen is effectively combined with the commodity perception and purchase behavior of the user on the target commodity.

The invention relates to the technical field of advertisement data processing, and discloses a method and device for achieving creativity generation by means of AI, and the method comprises the steps: obtaining user generation content from each social media platform in real time, and collecting hot topics of a current market; performing semantic analysis and sentiment analysis based on the hot topics to generate hot portraits; performing matching degree calculation on the hot portraits and target audience portraits of the product, and screening the hot portraits with the highest matching degree as the hot portraits of the target audience portraits; according to the hotspot portraits of the target audience portraits, performing two-dimensional screening in combination with the popularity of the hotspots to obtain target hotspot portraits; and inputting the target hotspot portrait and the associated product information into a preset deep learning model based on semantic matching, and outputting originality. The method has the advantages that the timeliness of the creativity is guaranteed, and the click rate and the conversion rate of the creativity are improved.

The embodiment of the invention provides a digital human interaction control method and related equipment. In the embodiment of the invention, in the interaction process of the digital human and the user, the emotion characteristics and the intention information of the user are identified based on the interaction information of the user through the intention identification model, and the multi-modal interaction feedback is carried out based on the emotion characteristics and the intention information of the user through the language model with the multi-modal interaction capability. Therefore, the interaction quality between the digital human and the user is improved, the more natural, smoother and emotional multi-mode interaction experience is realized, the changeable and subdivided personalized dialogue requirements of the user are effectively adapted, the interaction willingness of the user is improved, and particularly in a commodity live broadcast scene, the commodity purchase willingness of the user can be effectively improved.

The present invention relates to the field of commodity display technology, and discloses a commodity display system based on AR technology, including a dynamic environment adaptation module: automatically adjusting the display effect of commodities in different environments; a display background adjustment module: dynamically changing the display background of commodities according to different influencing factors; a user behavior analysis and commodity recommendation module: providing commodity recommendations to users by analyzing user behavior status, and displaying them in the commodity display system. The commodity display system based on AR technology proposed by the present invention can help users adjust their emotions by adjusting the background to adapt to the user's emotional state, thereby improving the user's satisfaction and comfort. Secondly, considering the user's preferences and emotions, it can provide a more personalized experience, making the user feel valued and understood, thereby increasing the effectiveness and conversion rate of commodity display, thereby bringing higher commercial value to the enterprise.

The utility model discloses a rotary hollow cup which comprises an inner cup body and an outer cup body, the inner cup body is located inside the outer cup body, the cup edge of the inner cup body abuts against the cup edge of the outer cup body, and the outer cup body can rotate outside the inner cup body. The bottom of the outer cup body is provided with a curled edge portion curled inwards, the bottom of the inner cup body is provided with a protruding portion, and the curled edge portion abuts against the protruding portion. And a hollow part is arranged on the outer cup body. Due to the fact that the double-layer hollow structure of the inner cup body and the outer cup body is adopted, the thickness of the paper cup is increased, the strength of the paper cup is improved, and a user can have a better holding feeling when using the paper cup. When hot water or hot drinks are contained, due to the hollow layer structure, transmission of temperature in the cup body can be delayed and reduced, and practicability and experience feeling are improved.

The present disclosure provides an item sharing method and device, an electronic device, and a computer-readable storage medium, and relates to the field of computer technology. The item sharing method includes: in response to a target item sharing instruction of a target user, generating a second video work containing the target item based on a first video work containing the target item, wherein the first video work is created by a user other than the target user; in response to a video work publishing instruction of the target user, publishing the second video work. The present disclosure enables the target user to generate and publish video works that meet their own personalized needs with the help of video works created by other users, thereby improving the exposure and dissemination efficiency of the item.

The invention relates to the technical field of online sales service, and discloses an online sales service method based on clothing pattern design, which comprises the following steps: a customer inputs body data; obtaining a target garment purchased by the customer and the type thereof; analyzing all historical evaluation records of the customer, and judging whether a good evaluation record the same as the target garment type is included or not; if so, calculating an average value of various data in the favorable comment record according to a first strategy, and recommending the most suitable size; if not, judging whether the customer opens the historical browsing record or not. If not, screening out a target population similar to the customer body data, analyzing a good reputation record of the target population, and recommending a size; and if open, selecting a target size according to a data change trend by analyzing a historical browsing record of the customer. According to the method, accurate size recommendation is realized by comprehensively analyzing customer body data, historical evaluation records and browsing behaviors.

The present invention proposes an advertising delivery method and system based on user big data analysis. User information and advertising product information are obtained from a background database in real time; the user information includes user IP information, geographic location information and user identity information; the advertising product information includes product type information, product sales information, product browsing information and product search information; the advertising product information in the area where the user is located is obtained based on the user IP information and geographic location information, and the user identity information corresponding to the advertising product is obtained based on the user behavior data. By analyzing user big data, the user's interests, preferences, behavioral characteristics and other information can be deeply understood, thereby achieving accurate target user positioning. Advertisements can be delivered to users who are truly potentially interested, thereby improving the effect and conversion rate of advertising reach.

E-commerce has become a mainstream lifestyle. Users primarily rely on platform-provided content recommendation algorithms to find the goods or services they need. Recommendations are generated based on VR / AR data (CN118552273A) using virtual digital avatars, and inferred from user social connections (CN118411232A). Existing recommendation algorithms lack personalization, over-rely on user behavior and sales data, and are susceptible to data pollution from fraudulent activities like fake orders, leading to results that don't meet user expectations, causing confusion, and ultimately affecting user decision-making and purchasing decisions. To address these issues, this application provides an intelligent method for recommending goods and services. It innovatively modifies existing recommendation algorithms by introducing advanced technologies such as large-scale artificial intelligence models and computer image recognition algorithms. This method effectively improves the personalization of user search results, creating scenario-specific, personalized search results. This allows search results to help users make faster decisions and increase their willingness to purchase products and services.

The invention discloses an equipment extended warranty service pricing method aiming at different purchase opportunities, and the method provides two strategies according to different time points, and the two strategies comprise an SEW (Security Enforcement Warning) extended warranty strategy and a DEW (Data Enforcement Warning) extended warranty strategy. The extended warranty service pricing method comprises the following specific steps: S1, constructing respective consumer utility functions under the condition that a manufacturer and a retailer provide extended warranty services at the same time under an SEW condition and a DEW condition; s2, further constructing extended insurance demand functions for purchasing extended insurance under the SEW condition and the DEW condition; s3, profit functions are respectively determined according to the demand functions; s4, respectively substituting the functions into a profit function in an SEW condition and a DEW condition, and solving optimal solutions of the functions about decision variables; and S5, comparing the optimal extended insurance prices and profits of the manufacturers and the retailers under the SEW condition and the DEW condition. According to the invention, a traditional sales mode of providing the extended warranty service at a single time point is broken through, and differentiated extended warranty services are provided for different types of consumption subjects in a customized manner.

The invention discloses a railway passenger ticket recommendation method and system, and the method comprises the steps: building and updating a user portrait model and a railway passenger ticket feature model through the data information on a railway passenger ticket purchase platform; based on the user portrait model and the railway passenger ticket feature model, obtaining a matching degree between the user and each railway passenger ticket; and based on the matching degree between the user and each railway ticket, obtaining a recommended railway ticket list corresponding to each user, and pushing the recommended railway ticket list. According to the demands and preferences of the user, appropriate railway ticket recommendation is provided for the user, the satisfaction degree and purchase willingness of the user are improved, and meanwhile the efficiency and income of railway transportation are improved.

The utility model discloses a lifting device with a turnover function, which belongs to the technical field of lifting equipment and comprises a rail piece provided with an unlocking guide piece, a first sliding piece provided with a plunger latch, a second sliding piece provided with a lock body and a turnover support connected to the first sliding piece and the second sliding piece. When the plunger latch and the lock body are in an interlocking state, the first sliding piece and the second sliding piece synchronously slide to drive the overturning support to ascend and descend. When the plunger latch and the lock body are in an unlocking state, the first sliding piece and the second sliding piece can slide relatively to drive the overturning support to overturn. The first slider slides relative to the unlocking guide to guide the latch to unlock and maintain the latch in an unlocked position. According to the lifting device, the lifting driving requirement and the folding and unfolding driving requirement of the overturning support can be met at the same time only through one driving source, the automation and intelligence of the device are improved while the production cost is controlled, and the purchasing willingness and the use experience of a user can be improved.

The present invention discloses a method for targeted marketing of a private domain traffic platform based on user purchase frequency analysis, including S1, a formed user behavior data set; S2, a formed user comprehensive data set; S3, a dynamic behavior feature data set; S4, a GNN-Transformer hybrid model is used to train a user behavior prediction model based on a dynamic behavior feature data set; S5, a multi-level user portrait is constructed in combination with the output result of the user behavior prediction model; S6, a marketing strategy is dynamically optimized based on the prediction results of the user portrait and the user behavior prediction model; S7, a marketing content that meets user needs is automatically generated in combination with the user portrait and the current context; S8, a closed-loop feedback system is established. The present invention realizes the refined management and dynamic optimization of marketing strategies through in-depth analysis and application of user purchase frequency and behavior data, and significantly improves the accuracy and effect of marketing activities.

The application discloses a kind of suspension type red jujube harvester, belong to red jujube harvester technical field.The harvester mainly includes suspension frame, transmission system, liftable walking wheel, guide plate, poking device, lifting and conveying screening device and impurity collection device.When operating, it is suspended and pulled by tractor and travels forward, simultaneously power is provided by the output shaft of tractor, and it is suitable for red jujube harvesting operation after falling into ridge.The harvester can realize the lifting and transportation of red jujube, screening, impurity cleaning by winnowing and collection, and has the characteristics of low cost, low damage and high efficiency.The harvester can avoid tractor idling and additional maintenance cost, improve the willingness of small and medium-sized farmers to apply mechanization, and has important significance for promoting the quality and efficiency of red jujube industry.

The invention relates to the technical field of floor lamps, and discloses a floor lamp light-emitting module and a healthy lighting read-write floor lamp. The floor lamp light-emitting module comprises a lamp holder, and the lamp holder comprises a support. A lamp body; the angle adjusting mechanism comprises a cylindrical coupling shaft, a sleeve corresponding to the coupling shaft, a first supporting gear and at least two second supporting gears; one end of the sleeve is provided with an inner gear ring, and other parts are unthreaded holes; the locking assembly is provided with a locking block capable of stretching out and drawing back in the radial direction of the adapter shaft, and clamping teeth are arranged at the outer end of the locking block. The light-emitting module can adjust and lock the illumination angle of the lamp body of the floor lamp, the operation is simple, the adjusting range is large, the adjusting precision is high, the locking stability is high, the requirement for adjusting the illumination angle during reading and writing of children and adolescents can be fully met, sufficient illumination can be provided for the reading and writing area of the children and adolescents, and the practicability is high. Bright spots and dark areas in the read-write area can be effectively avoided, so that the vision health of children and adolescents can be guaranteed.

The utility model provides a gravity self-resetting mechanical switch structure and cooking electric appliance, including spacing strip, spacing strip installs on door subassembly and removes together with door subassembly, sets up the clamping groove on spacing strip, rotates the arm, rotates the arm setting on the body cooperation with door subassembly, and rotates the arm and spacing strip rotation cooperation, and the at least partial of rotating arm can selectively be connected in the clamping groove inside. Need first manual pressing rotating arm, open door subassembly again manually, can realize the door opening operation to effectively prevent the young child to open the door of cooking electric appliance through simple push -and -pull operation, avoids its because contact after heating food and electric appliance inside and scalds, and adopts the gravity effect under rotating arm's automatic reset, compares with the mode of relying on reset spring or electric drive in prior art, the structure is relatively simple, also is not affected by electromagnetic influence or spring fatigue influence, reduces production and maintenance cost, promotes consumer's use safety feeling and purchase willingness to cooking electric appliance.

The present invention relates to the field of automobile recommendation prediction technology, and in particular to a method and platform for placing an order in an automobile mall. The method comprises the following steps: obtaining historical browsing information data of automobile mall users and customer service consultation information data of automobile mall users, and performing user automobile preference demand analysis and user vehicle matching recommendation prediction to obtain automobile vehicles matched and recommended by the mall users; performing user interface display processing and virtual test drive space modeling on automobile vehicles matched and recommended by the mall users to obtain a virtual test drive space model of the mall display vehicle; performing virtual test drive experience analysis and recommended vehicle purchase screening processing on the virtual test drive space model of the mall display vehicle to obtain automobile vehicles adapted to be purchased by the mall users; performing intelligent quotation and ordering processing on automobile vehicles adapted to be purchased by the mall users to obtain intelligent ordering results for automobile vehicles of the automobile mall users. The present invention can realize intelligent processing of the automobile recommendation process.

The folding type brochure comprises a plurality of brochure pages, the brochure pages are sequentially and adjacently connected, the heights of the adjacent brochure pages are sequentially increased, except the last brochure page, the upper ends of the brochure pages are inclined at the same angle, and the brochure with steps is formed after the brochure pages are folded. According to the folding type brochure, due to the unique structural design and display mode, the attraction and reading efficiency of the brochure are improved, the display space is enriched, and the requirement for environmental protection is met. The innovative design scheme has obvious advantages in market competition, and is helpful for enterprises to better popularize products and services.