Tagging Service System Design Using Voting Promotion Strategy

Yen-Chun Huang, Wei-Feng Tung
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Abstract

Tagging is the one of Web 2.0 applications that can generate the web resources from the internet users. Tagging, provides meaningful descriptions of resources for more efficient searching and recommendation. However, Tagging still exists some issues unsolved. The frequency of the tags can be a distribution, modeled accurately. Only few tags can be searched with high frequency, but the tags are too generic to identify one from the other. On the other hand, the determinations of low-frequency tags are unstable for most queries, due to infrequent presence. In order to help users annotate the resources with tagging, this paper proposes a voting-promotion technology to further develop a novel tag recommendation system.
基于投票推广策略的标签服务系统设计
标签是Web 2.0应用程序之一,可以从互联网用户中生成Web资源。标记,为更有效的搜索和推荐提供有意义的资源描述。然而,标签技术仍存在一些未解决的问题。标签的频率可以是一个分布,精确建模。只有少数标签可以用高频率搜索,但标签太通用,无法区分一个。另一方面,低频标记的确定对于大多数查询来说是不稳定的,因为它们很少出现。为了帮助用户对资源进行标注,本文提出了一种投票促进技术,进一步开发了一种新的标签推荐系统。
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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