计算机与现代化

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基于水利对象分类标签的分面推荐方法研究

  

  1. 河海大学计算机与信息学院,江苏南京211100
  • 收稿日期:2015-07-24 出版日期:2015-12-23 发布日期:2015-12-30
  • 作者简介:杜丙帅(1991-),男,河北衡水人,河海大学计算机与信息学院硕士研究生,研究方向:数据管理与知识工程; 李士进(1973-),男,教授,博士,研究方向:模式识别,图像与视频分析,数据挖掘及水利应用; 冯钧(1969-),女,教授,博士,研究方向:时空间数据管理,智能数据处理与数据挖掘,水利信息化; 唐志贤(1983-),男,博士研究生,研究方向:时空数据管理; 孔盛球(1993-),男,硕士研究生,研究方向:信息检索。
  • 基金资助:
    国家自然科学基金资助项目(61370091,61170200)

Facetedsearch Method Based on Classification for Water Conservancy Object

  1. College of Computer and Information, Hohai University, Nanjing 211100, China
  • Received:2015-07-24 Online:2015-12-23 Published:2015-12-30

摘要: 水利行业现有目录检索系统对于领域用户支持良好,但是对于没有明确需求的普通用户则很难入手,容易产生信息过载问题。为此,本文将探索式的分面检索技术引入水利领域,提出一种基于区分度的分面推荐算法,将检索路径构建为一棵检索树,使用户的检索路径最短。为了验证算法有效性,将算法应用到实际系统中,并对水利对象建立分类标签,使不同的用户可以从不同维度对水利数据进行检索。该系统大大提高了用户的检索效率,为水利应用系统检索服务提供了一个全新的视角。

关键词: 分类标签, 区分度, 分面检索

Abstract: The catalogue retrieval systems in water sector are good support for field users, but sometimes are difficult to start for ordinary users without clear needs, and also are easy to produce information overload problem. To this end, the faceted search technology is introduced into water conservancy, and a faceted recommendation algorithm based on discrimination is proposed. In this algorithm, the search path is constructed as a search tree which can ensure the user’s search path is the shortest. To prove the feasibility and validity of the method, the algorithm is applied to the actual retrieval system, and the water conservancy object is set up and classified, so that different users can retrieve water data from different dimensions. The new system greatly improves the efficiency of user’s retrieval, and provides a new perspective for the water conservancy application system.

Key words: classified label, dipartite degree, facet search

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