基于水利对象分类标签的分面推荐方法研究

Faceted-search Method Based on Classification for Water Conservancy Object

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。

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.