基于用户需求的图书馆微信平台个性推送服务研究

Research on Personality Push Service of Library We Chat Platform Based on User Demand

针对常规图书馆微信平台个性推送服务、推送消息难以满足用户需求的问题,笔者研究了基于用户需求的图书馆微信平台个性推送服务。根据用户需求的相似性,模糊聚类用户需求;利用夹角余弦法,提取用户需求特征;建立微信推送服务体系框架,实现对信息的个性推送。调查结果表明,与常规推送服务相比,本研究的推送服务使用效果更好,用户的满意度更高。由此可见,该图书馆微信平台个性推送服务符合当下的用户需求。

In view of the traditional library WeChat platform personalized push service,push messages are difficult to meet the needs of users,the author researches the personalized push service of the library WeChat platform based on user needs.According to the similarity of user requirements,fuzzy clustering user requirements;using the angle cosine method to extract user demand characteristics;establishing a WeChat push service system framework to achieve personalized push of information.The survey results show that compared with the conventional push service,the research push service is better and the user satisfaction is higher.It can be seen that the personalized messaging service of the library WeChat platform meets the needs of current users.