11results about How to "Improve push accuracy" patented technology

The invention provides an intelligent pushing method and device, a storage medium and electronic equipment. The method comprises the steps that a first number and user information corresponding to the first number are acquired; performing multi-level index operation based on the first number and a pre-constructed number database to obtain first attribution information; performing feature analysis based on the user information to determine user features, wherein the second attribution information is used for representing current location information of a user of the first number; and determining the push content of the first number based on the first attribution information and / or the second attribution information and / or the intention feature information, and performing information push based on the push content. Therefore, the pushing accuracy of the energy information preference can be improved by combining the first affiliation information, the second affiliation information and the intention, the number analysis efficiency can be improved by constructing the number database with the multi-level indexes, the occupied space can be reduced, the preference analysis efficiency is improved, and the system burden is reduced.

This invention discloses an adaptive intelligent jacking device for steel-concrete composite beam bridges, relating to the field of bridge construction equipment technology. It includes a bridge beam and a foundation support assembly. The foundation support assembly is equipped with a multi-stage jacking mechanism, a foundation anchoring mechanism, and an intelligent control system. The foundation support assembly includes an upper mounting plate and a lower mounting plate, with a horizontal adjustment mechanism connecting the support column to the upper mounting plate. The multi-stage jacking mechanism includes a primary jacking mechanism, a secondary jacking mechanism, and a tertiary fine-tuning mechanism. This invention provides stable support for the entire device through the foundation support assembly. Combined with the horizontal adjustment mechanism, the horizontal state of the upper mounting plate can be adaptively adjusted to adapt to foundations with varying flatness, avoiding uneven stress on the device and reducing construction safety hazards. The multi-stage jacking mechanism, employing a combination of primary jacking, secondary jacking, and tertiary fine-tuning, significantly improves jacking accuracy, ensuring the bridge beam is accurately pushed to the design position, and has good engineering application value.

The embodiment of the invention relates to an information query method and device, electronic equipment and a storage medium. The method comprises the steps that a query statement input by a user is received; vectorizing the query statement to obtain a semantic vector; similarity calculation is carried out on the semantic vector and at least two preset hot topic vectors to obtain at least two similarities, and each hot topic vector in the at least two hot topic vectors represents a hot topic; based on the at least two similarities, determining a target hotspot theme corresponding to the query statement; based on the target hot topic, determining a tag set corresponding to the query statement; and based on the tag set, obtaining feedback information for feeding back to the user. According to the embodiment of the invention, the tag related to the hotspot theme can be adaptively determined, and the required information is provided for the user based on the tag, so that the pushing precision of the real-time hotspot information can be improved, and more efficient and accurate interaction with the user is realized.

The invention relates to the technical field of tourism marketing, and discloses a tourism marketing short message sending method and device, and the method comprises the steps: collecting real-time signaling data of a target user located in a target scenic region and other preset type data from an operator; based on the real-time signaling data and the preset type data, key features of the target user are extracted; inputting the key features into a preset LightGBM model for identification, and outputting an identification result of the tourist user; according to the identification result of the tourist user, matching a sending number, a short message content, a marketing area base station and sending time corresponding to the tourist user; and when the tourist user enters the target marketing area, triggering a tourist marketing short message sending task, and sending a tourist marketing short message. The method has the advantages that the pushing precision of the tourism marketing short messages is improved, the problem of short message harassment to local resident people is solved, meanwhile, the short message sending benefit is greatly improved, and the tourism marketing short message expense waste is reduced.

This application discloses a data processing method, apparatus, computer-readable storage medium, and computer device, relating to the field of Internet technology. It involves acquiring user behavior data and obtaining item latent semantic vectors based on the user behavior data; performing clustering processing on the item latent semantic vectors to obtain a first clustering result; determining the cluster identifier to which each item latent semantic vector belongs based on the first clustering result; and constructing a user latent semantic profile based on the cluster identifier. In this way, by clustering item latent semantic vectors, determining the cluster identifier to which each item latent semantic vector belongs based on the first clustering result, and then using the cluster identifier as a representation dimension of items to construct a user latent semantic profile, the efficiency of data processing is improved, the accuracy of user profiles is increased, and thus the accuracy of recommendation system pushes is enhanced.

Embodiments of the present application provide a data processing method and device, computer equipment and a readable storage medium. The method comprises: obtaining sample spliced media features and N-dimensional labeled interaction labels of a sample object for sample multimedia data; calling a shared network in an initial recognition model to extract shared media features associated with N media recognition tasks from the sample spliced media features; calling a dedicated network i in the initial recognition model to extract dedicated media features i from the sample spliced media features; calling a recognition network i in the initial recognition model to identify an i-dimensional predicted interaction label according to the shared media features and the dedicated media features i; and training the initial recognition model according to the N-dimensional labeled interaction labels and the N-dimensional predicted interaction labels to obtain a multi-task recognition model. The media recognition accuracy of the trained initial recognition model can be improved, and the push accuracy of the multimedia data can be improved.

The invention discloses an employment information pushing method based on user behavior analysis, and belongs to the technical field of semantic processing, and the method is realized through the following steps: firstly, extracting historical delivery and job positions of a user, and constructing a corresponding position set; comparing the to-be-pushed user with other users, and identifying a work similar user and a delivery similar user; thirdly, a set of non-working and non-delivery positions and preference coefficients of the set are constructed according to similar users; then, calculating an employment intention weight by analyzing the association degree between a browsing position of the user to be pushed and a non-working position and a non-delivery position; and finally, processing the position sets by using an employment push model, performing adjustment based on the employment intention weight, and finally generating personalized employment information push. According to the method, the recommendation accuracy and diversity are effectively improved, and position information better meeting the professional development requirements of the user is provided for the user.

The application discloses an insurance product information pushing method and device, a storage medium and a terminal, relates to the technical field of data processing, and aims at solving the technical problem of how to improve user determination effectiveness and thus improve the pushing accuracy of insurance product information. Mainly includes: obtaining user transaction history data, user basic attribute data and context basic features of an insurance product; determining information cross features based on the user transaction history data, the user basic attribute data and the context basic features, and performing classification processing on the information cross features and user features of a user to be screened through a user classification model that has completed model training to determine target users after classification, wherein the user classification model is obtained by training based on an interaction time training sample set; and pushing product information of the insurance product to the target users.

The present application discloses a method and device for recommending home scenes in a home system, and relates to the field of smart home technology. The recommendation server can determine the period weight of each statistical period in the historical period before the recommendation moment based on the period interval between the statistical period in which the recommendation moment is located and each statistical period in the historical period, and then determine the first recommendation degree of the first home scene based on the period weight and the first number of activations in the statistical period included in the historical period. Thereby, the intelligent push of home scenes is realized. Moreover, when determining the first recommendation degree of the first home scene, the recommendation server can not only consider the number of activations of the first home scene, but also consider the statistical period in which the recommendation moment is located, so as to ensure that the pushed home scene is more matched with the statistical period in which the recommendation moment is located, and ensure that the push accuracy of the pushed home scene is high.

The present invention relates to the field of mechanical transmission technology, and the present invention discloses an interlocking rack push transmission device, comprising: a housing; a flexible push rack assembly, the flexible push rack assembly is installed in the housing, the flexible push rack assembly includes two flexible toothed belts installed opposite to each other at the side ends of the carrier joint, and a channel is provided in the housing for the flexible toothed belt to travel along a U-shaped walking track; a power input assembly, the power input assembly is installed in the housing, the power input assembly is used for the flexible toothed belt to travel, and when the two flexible toothed belts are engaged, the carrier joint is pushed forward. The front sides of the two flexible toothed belts are provided with external tooth blocks for the power input assembly to engage, and the back sides of the two flexible toothed belts are detachably provided with engaging blocks for mutual engagement. The present invention provides an interlocking rack push transmission device, which has the advantages of light weight, maintenance-free, high cleanliness, low noise, high power integration, and small space.

The invention discloses an artificial intelligence-based recommendation method and system, and relates to the technical field of artificial intelligence, and the artificial intelligence-based recommendation method comprises the following steps: S1, receiving a first recommendation request, and determining a recommendation strategy according to the first recommendation request; s2, acquiring first recommendation data according to the recommendation strategy, and sending the first recommendation data; and S3, receiving a second recommendation request sent according to the first recommendation data, obtaining second recommendation data according to the second recommendation request, and sending the second recommendation data. According to the method and the device, the plant information can be quickly pushed to the recommendation requester according to different human health conditions, different plant characteristics, different planting climate environments and / or different planting soil environments, the pushing adaptability is high, and the pushing accuracy is high.