Web Service to Deliver Filtered RSS Items to a Mobile Application

Atul Sajjanhar, Ying Zhao
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引用次数: 2

Abstract

In the past decade there has been massive growth of data on the internet. Many people rely on XML based RSS feeds to receive updates from websites. In this paper, we propose a method for managing the RSS feeds from various news websites. A web service is developed to deliver filtered news items from RSS feeds to a mobile client. Each news item is indexed, subsequently, the indexes are used for filtering news items. Indexing is done in two steps. First, classical text categorization algorithms are used to assign a category to each news item, second, geoparsing is used to assign geolocation data to each news item. An android application is developed to access filtered news items by consuming the proposed web service. A prototype is implemented using Rapid miner 5.0 as the data mining tool and SVM as the classification algorithm. Geoparsing and geocoding web services, and Android API are used to implement location-based access to news items. Experimental results prove that the proposed approach is effective and saves a significant amount of information overload processing time.
将过滤后的RSS项目传递到移动应用程序的Web服务
在过去的十年里,互联网上的数据有了巨大的增长。许多人依赖基于XML的RSS提要来接收来自网站的更新。本文提出了一种管理各类新闻网站RSS源的方法。开发了一个web服务,将过滤后的新闻条目从RSS提要传递到移动客户机。对每个新闻项建立索引,然后使用索引过滤新闻项。索引分两步完成。首先利用经典文本分类算法对新闻条目进行分类,然后利用地理解析技术对新闻条目进行地理定位。开发了一个android应用程序,通过使用建议的web服务来访问过滤的新闻项目。采用Rapid miner 5.0作为数据挖掘工具,支持向量机作为分类算法,实现了一个原型。地理分析和地理编码web服务以及Android API用于实现对新闻项目的基于位置的访问。实验结果证明了该方法的有效性,节省了大量的信息过载处理时间。
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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