書目推薦作為閱讀推廣的重要手段,在培養用戶閱讀習慣、增強用戶閱讀興趣方面有著重要的作用。文章針對書目推薦中存在的脫離用戶需求、用戶接受度低的問題,提出基于群體智慧的自動化書目推薦方法。通過將實驗結果與武漢大學圖書館書目推薦結果進行比對與分析,發現基于群體智慧的書目推薦能更好地滿足推廣需求,更全面地覆蓋用戶興趣,也適于大規模推廣。

As an important means of reading promotion, recommended reading list plays a significant role in cultivating reading habits and enhancing reading interest. The paper proposes a method to generate recommended reading list automatically based on swarm intelligence,aiming to address the problems that book recommendation falls short of user requirements and user acceptance is poor. By comparing the results of this experiment with the book recommendation in Wuhan University Library, it is found that book recommendation based on swarm intelligence is better at meeting the needs of reading promotion, satisfying more user interests, and easier to replicate at scale.