Research And Application Of Recommended Algorithm Based On Semantic Analysis

Software service technology has developed rapidly in recent years.It uses computer algorithms to analyze massive data and provide decision suggestions and information for users.Software service technology has been widely used in commodity promotion,travel services and other fields.In the professional table tennis team,the content of the game is summarized after each contest.The summary process needs to set up technical and tactical acquisition templates according to the coach's intention,and then carry out technical and tactical data collection and analysis according to the template content.The collection template recommendation needs from the technical and tactical collection of the national table tennis team.The usual acquisition template design is one work at a time,and the labor is repeated.It takes a lot of manpower and time,which makes the technical and tactical collection and analysis very inefficient.Combining the demand for table tennis skills and tactics,and using software service technology to solve the recommendation problem of the acquisition template is a new attempt.In view of the above problems,this paper firstly understands the theoretical knowledge of the recommendation system,and focuses on the traditional recommendation algorithm.It is found that the traditional recommendation algorithm can not solve the problem of recommendation of table tennis technical and tactical templates.Then combined with the process of table tennis technique and tactics collection and analysis,this paper proposes an algorithm that can be applied to the intelligent recommendation of table tennis template-based association rule recommendation algorithm based on semantic analysis.Including:(1)analysis of coaches' skills and tactics collection needs.According to the coach's dictation,the coach's collection intention is quickly refined through semantic analysis.(2)Recommend the keywords obtained by the analysis result to the template producer,search for a template with high similarity with the keyword in the template library,and complete the recommendation of the collection template.This paper takes real table tennis match data as the experimental research object,and uses the association rule recommendation algorithm based on semantic analysis to design and implement a table tennis template intelligent recommendation system.The implemented template recommendation system is applied in the national table tennis team's technical and tactical acquisition system.After nearly 100 training tests during the preparation period of the World Championship training period,the accuracy of the recommended algorithm is compared with the manual establishment of the table tennis technical and tactical acquisition template.At 80%or more,the template design time is reduced by more than 50%.The experimental results show that the recommendation method has certain feasibility and practicability.