Composite match autocompletion (COMMA): A semantic result-oriented autocompletion technique for e-marketplaces

R. Porrini, M. Palmonari, Giuseppe Vizzari
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引用次数: 2

Abstract

Autocompletion systems support users in the formulation of queries in different situations, from development environments to the web. In this paper we describe Composite Match Autocompletion COMMA, a lightweight approach to the introduction of semantics in the realization of a semi-structured data autocompletion matching algorithm. The approach is formally described, then it is applied and evaluated with specific reference to the e-commerce context. The semantic extension to the matching algorithm exploits available information about product categories and distinguishing features of products to enhance the elaboration of exploratory queries. COMMA supports a seamless management of both targeted/precise queries and exploratory/vague ones, combining different filtering and scoring techniques. The algorithm is evaluated with respect both to effectiveness and efficiency in a real-world scenario: the achieved improvement is significant and it is not associated to a sensible increase of computational costs.
复合匹配自动完成(逗号):用于电子市场的一种面向结果的语义自动完成技术
自动补全系统支持用户在从开发环境到web的不同情况下制定查询。在本文中,我们描述了复合匹配自动完成逗号,这是一种在实现半结构化数据自动完成匹配算法时引入语义的轻量级方法。首先对该方法进行正式描述,然后根据电子商务上下文对其进行应用和评估。匹配算法的语义扩展利用了关于产品类别的可用信息和产品的显著特征来增强探索性查询的精细化。COMMA支持有针对性/精确查询和探索性/模糊查询的无缝管理,结合了不同的过滤和评分技术。在实际场景中,对该算法的有效性和效率进行了评估:所实现的改进是显著的,并且与计算成本的合理增加无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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