文章摘要
蒋晓,谢暄,叶芳,田江.科技期刊的个性化推荐策略.编辑学报,2017,29(1):67-69
科技期刊的个性化推荐策略
Personalized recommendation for sci-tech periodicals
投稿时间:2016-08-03  修订日期:2016-08-03
DOI:10.16811/j.cnki.1001-4314.2017.01.022
中文关键词: 个性化推荐  科技期刊  数字化
英文关键词: personalized recommendation  sci-tech periodi-cal  digital
基金项目:
作者单位
蒋晓 《电子科技大学学报》编辑部,610054,成都 
谢暄 《电子科技大学学报》编辑部,610054,成都 
叶芳 《电子科技大学学报》编辑部,610054,成都 
田江 《电子科技大学学报》编辑部,610054,成都 
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中文摘要:
      为了满足受众日益增长的个性化信息需求,提出一种科技期刊个性化推荐策略。该策略通过对受众行为的收集与分析,挖掘受众对内容的喜好和潜在需求;据此将期刊内容进行拆分、关联和重组的结构化制作和知识化管理,形成个性化信息过滤和推荐,从而为受众提供个性化信息服务。这将优化科技期刊的用户管理方式、信息组织方式和传播方式,提高科技期刊的服务质量和传播效率。
英文摘要:
      In order to satisfy audience's increasing needs of personalized information, a strategy of personalized recommendation for sci-tech periodicals is proposed. This strategy firstly obtains the audience preferences and potential needs through collecting and analyzing users' behavior, then makes the content structured by segmenting, correlating and restricting, and finally recommends the information through filtering and aggregation. As a result, it will provide personalized information service for the audience, and improve the way of user management, information organization and spread, and further improve the service quality and spreading efficiency of sci-tech periodicals.
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