A Filtering and Recommender System Prototype for Scholarly Users of Digital Libraries

机译：数字图书馆学术用户的过滤和推荐系统原型

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摘要

The research and scholarly community of users in a digital library presents several characteristics that make necessary the development of new services capable of satisfying their specific information needs. In this paper we present a filtering and recommender system prototype that applies two approaches to recommendations in order to provide users valuable information about resources and researchers pertaining to domains that completely (or partially) fit that of interest of the user. As an outlook, we briefly enumerate its main features and elements, and present an operational example, which illustrates the overall system performance. Additionally, the outcomes of a simple evaluation of the prototype are shown.

机译：数字图书馆中用户的研究和学术团体提出了几个特征，这些特征使得有必要开发能够满足其特定信息需求的新服务。在本文中，我们提出了一种过滤和推荐系统原型，该原型将两种方法应用于推荐，以便向用户提供有关资源和研究人员的有价值信息，这些信息属于完全（或部分）适合用户感兴趣的领域。作为展望，我们简要列举其主要功能和要素，并提供一个操作示例，以说明整个系统的性能。此外，还显示了对原型进行简单评估的结果。

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来源
《Visioning and engineering the knowledge society : A web science perspective》|2009年|P.108-117|共10页
会议地点 Chania(GR);Chania(GR)
作者
Jose M. Morales-del-Castillo; rnEduardo Peis; rnEnrique Herrera-Viedma;
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作者单位

Dpt. Of Library and Informaction Science, University of Granada, Colegio Maximo de Cartuja s (18071), Granada, Spain;

Dpt. Of Library and Informaction Science, University of Granada, Colegio Maximo de Cartuja s (18071), Granada, Spain;

Dpt. Of Computer Science and A.I., University of Granada, c/ Periodista Daniel Saucedo Aranda s (18071), Granada, Spain;

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原文格式 PDF
正文语种 eng
中图分类人工智能理论;
关键词
filtering and recommender systems; digital libraries; scholarly community; semantic web technologies; fuzzy linguistic modeling;

机译：过滤和推荐系统；数字图书馆；学术界；语义网技术；模糊语言建模;

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2. Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items [J] . Jesus Bobadilla, Fernando Ortega, Antonio Hernando, Expert systems with applications . 2012,第1期

机译：推荐系统的通用化：协作筛选扩展到用户组，并且仅限于项目组
3. Social Information Filtering-Based Electricity Retail Plan Recommender System for Smart Grid End Users [J] . Fengji Luo, Gianluca Ranzi, Xibin Wang, Smart Grid, IEEE Transactions on . 2019,第1期

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4. A Filtering and Recommender System Prototype for Scholarly Users of Digital Libraries [C] . Jose M. Morales-del-Castillo, Eduardo Peis, Enrique Herrera-Viedma World Summit on the Knowledge Society . 2009

机译：数字图书馆学术用户的过滤和推荐系统原型
5. An intelligent and adaptive news recommender system using modified collaborative filtering for user profiling. [D] . Monga, Gurdeep. 2006

机译：一种智能的自适应新闻推荐系统，使用改进的协作过滤进行用户配置。
6. Modeling user rating preference behavior to improve the performance of the collaborative filtering based recommender systems [O] . Mubbashir Ayub, Mustansar Ali Ghazanfar, Zahid Mehmood, 2012

机译：对用户评级偏好行为进行建模，以提高基于协作过滤的推荐系统的性能
7. On the Effectiveness of Prioritized User-Profile and Detecting Active Users in Collaborative Filtering Recommender Systems [O] . Hoda Sepehri Rad, Caro Lucas 2014

机译：协同过滤推荐系统中优先用户配置文件和检测活动用户的有效性

A Filtering and Recommender System Prototype for Scholarly Users of Digital Libraries

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