3results about How to "Precise personalized recommendation" patented technology

The embodiment of the application provides a communication package recommendation method, system, device and storage medium, the method comprises: calculating the activity value based on the page access time length, the page access times and the recent access time; in the case where the activity value is greater than the first preset threshold, query whether there is a package change record in the historical package information; in the case where there is no package change record in the historical package information, respectively, the statistical feature of the historical call information and the historical traffic information is calculated to obtain the call feature value and the traffic feature value; in the case where the call feature value is greater than the first threshold, and the traffic feature value is greater than the second threshold, the exposure weight of the communication package corresponding to the comprehensive package type in the exposure weight list is increased; at least one target communication package in the adjusted exposure weight list whose exposure weight is greater than the preset weight threshold is exposed in the preset network page. The scheme can adapt to different needs of users for personalized exposure of communication packages.

The application relates to the computer technical field and discloses a pet traditional Chinese medicine diagnosis and treatment service platform and a matching method based on multi-condition screening, aiming to solve the problem of diagnosis and treatment resource mismatch caused by the single screening dimension and the lack of standardized matching mechanism of traditional Chinese medicine characteristic attributes in the prior art. The method comprises the following steps: collecting multi-dimensional attribute data of pet physical sign information, traditional Chinese medicine syndrome characteristics, user preferences, and disease types and severity; establishing a standardized veterinary diagnosis and treatment resource attribute system and generating a matching rule library; performing matching calculation by using a weighted matching algorithm or a similarity model; displaying candidate results in order of matching degree, comprehensive score and distance; collecting feedback data to dynamically adjust the weight coefficient and realize algorithm optimization. The system also comprises diagnosis and treatment scheme recommendation, cost estimation and payment docking, and matching closed-loop verification modules. By incorporating traditional Chinese medicine characteristic attributes such as pet physical quality identification, traditional Chinese medicine syndrome classification, and veterinary professional skill level into the screening conditions, the application realizes precise personalized recommendation for pet traditional Chinese medicine diagnosis and treatment, effectively solves the diagnosis and treatment resource mismatch problem, and can realize dynamic evolution and continuous improvement of the matching system accuracy.