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在以往检索系统评价指标的基础上,提出适合于评价检索系统的指标集,具体为检索界面、检索框、分类检索、热门列表、检索选项、检索提示、页面描述和快照功能8项指标。在这一指标集的基础上,利用网络调查法和比较法对新浪微博搜索和百度搜索进行比较研究。研究结果显示,新浪微博搜索的检索系统虽使用大部分指标,但与百度搜索相比存在程度不深、力度不足等问题。最后提出新浪微博搜索可从优化分类检索功能、实现智能化检索、注重微博信息保存三方面着手改善,以提供个性化微博信息检索服务。
Based on the previous indexing system evaluation indexes, the index set suitable for the indexing system is put forward, which includes eight indicators: search interface, search box, category search, hot list, search option, search hint, page description and snapshot function. On the basis of this index set, we make comparative research on Sina Weibo search and Baidu search by using network survey and comparative method. The research results show that although the retrieval system of Sina Weibo search uses most of the indicators, there are some problems such as not deep degree and insufficient strength compared with Baidu search. In the end, we propose that Sina Weibo search can improve the classified search function, achieve intelligent retrieval, and focus on the preservation of Weibo information in order to provide personalized Weibo information retrieval service.