摘要
随着社交媒体的兴起与校园社团活动的多元化,校园社团推荐软件的社会需求越来越迫切,故设计一款基于协同过滤算法的校园社团推荐软件,可满足学生参与个性化社团的需求。对协同过滤算法进行详细研究,通过分析用户间的相似度推荐与用户兴趣相似的社团。设计校园社团推荐软件的架构,提出基于协同过滤算法的校园社团推荐算法,通过实验评估验证所提出的推荐系统的有效性与可行性。结果表明,基于协同过滤算法的校园社团推荐软件能够为用户提供准确、个性化的推荐结果,并具有良好的用户体验与用户满意度。
As social media emerges and campus clubs diversify their activities,the demand for campus club recommendation software is becoming more and more urgent.Therefore,a collaborative filtering algorithm-based campus club recommendation software is designed to meet students’needs for participating in appropriate clubs.Firstly,the collaborative filtering algorithm is studied in detail to recommend clubs with similar interests to users by analyzing the similarity between users.Secondly,an architecture of campus club recommendation software is designed.Then,a campus club recommendation algorithm based on collaborative filtering algorithm is proposed.Finally,the effectiveness and feasibility of the proposed recommendation system are verified through experimental evaluation.Results show that the campus club recommendation software based on collaborative filtering algorithm can provide users with accurate and personalized recommendation results,which also has good user experience and user satisfaction.
作者
苏永辉
Su Yonghui(Xi’an Vocational University of Information,Xi’an 710000,China)
出处
《黑龙江科学》
2024年第13期76-79,共4页
Heilongjiang Science
基金
陕西省教育厅专项科研计划项目“基于协同过滤算法的校园学生活动推荐平台的研究与设计”(23JK0635)。
关键词
协同过滤算法
校园社团
推荐软件
设计与应用
Collaborative filtering algorithms
Campus clubs
Recommendation software
Design and applications
