7results about How to "Precise personalized recommendation" patented technology

The invention provides an interaction method which can be applied to the technical fields of Internet technology, electronic technology, artificial intelligence and the like. The interaction method comprises the following steps: in response to a search operation of a user on a search interface, displaying an interaction control corresponding to a target category to which a search keyword belongs; in response to a trigger operation of the user on the interaction control, initiating interaction information for the target category to the user in a dialogue window of the interaction control; under the condition that the user intention is determined to be an article recommendation intention according to the reply of the user, performing user preference interaction with the user, and determining preference information of the user for a target category; and according to the preference information of the user, recommending a target article to the user, the target article being determined from all articles of the target category. The invention further provides an interaction device, equipment, a medium and a program product.

The invention relates to the technical field of big data processing and intelligent recommendation, in particular to an intelligent recommendation system driven by big data. The method comprises the following steps: collecting user behavior data and article feature data, and generating a user feature set and an article feature set; a user feature weight is introduced, a relative deviation degree is calculated, a recommendation value is calculated, and a recommendation list is generated; displaying the recommendation list to the user to obtain a feedback value; and dynamically adjusting the user feature weight based on the feedback value, the recommendation value and the relative deviation degree, calculating the relative deviation degree and the recommendation value based on the obtained final user feature weight, and finally generating a personalized recommendation list. The problem that a traditional recommendation system mainly depends on static similarity calculation of users and articles, so that personalized recommendation accuracy is insufficient is solved; the response capability to the user interest change is weak, so that the recommendation system easily misjudges the user demand; and a global performance optimization and regulation and control mechanism is lacked, so that a recommendation system is easy to fall into local optimum.

The invention discloses a computer intelligent service management system, method and device and a storage medium, and the method comprises the following steps: obtaining related information of computer service used by a user, and storing the related information in a system database; analyzing input data and use behavior data of the user, and generating decision support information based on an analysis result; user portraits are completed by means of big data mining, user service demand features are clarified, and personalized service recommendation is provided; personalized service recommendation effects are monitored, user evaluation is collected, summarized and arranged, and a data analysis mode and a service strategy are optimized according to evaluation service quality and improvement effects; user precise service effects are collected, operation is repeated, a management method is optimized, and precise service management is achieved. According to the method, the use data of different services are processed in a centralized manner, the use behaviors, input data and preferences of the user are analyzed, a final analysis result of the heterogeneous information network relation graph is constructed by analyzing and mining the data, and accurate personalized recommendation is provided for the user.

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.

The invention discloses a television media resource data recommendation processing method and device, computer equipment and a readable storage medium, and the method comprises the steps: firstly, generating media resource vector data according to the vectorization processing of a local media resource library, and then obtaining a recommendation model through the training of a pre-training base model and a specific strategy; the method comprises the following steps: firstly, acquiring a user television operation behavior to generate a family portrait, and finally, according to the family portrait and media asset vector data, reasoning and fusing through a recommendation model to generate a final family user sheet recommendation result, thereby realizing accurate and personalized recommendation of the television media asset data.