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Query Triggered Crawling Strategy: Build a Time Sensitive Vertical Search Engine

机译:查询触发的抓取策略:构建时间敏感的垂直搜索引擎

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In today's information society, it is important to retrieve fresh information [1]. Many of the vertical search results are valid to users in only a short period of time. But due to resource constraints, it is not possible to keep the entire local storage synchronized with the Web [2]. We implemented a TSVS (Time Sensitive Vertical Search Engine) prototype named Velocisaurus focused on time-critical airfare discount information search to investigate the time critical requirements of vertical search and proposed a QTC (query triggered crawling) strategy to coordinate the crawling systems by real-time user queries and solve this problem. Experiment shows that QTC driven crawlers significantly improves the freshness of the search results and utilizes the resources more efficiently compared to regular search engine crawlers.
机译:在当今的信息社会中,重要的是要获取新鲜的信息[1]。许多垂直搜索结果仅在短时间内对用户有效。但是由于资源的限制,不可能使整个本地存储与Web同步[2]。我们实施了一个名为Velocisaurus的TSVS(时间敏感垂直搜索引擎)原型,该模型专注于对时间要求严格的机票折扣信息搜索,以研究垂直搜索的时间要求,并提出了一种QTC(查询触发的抓取)策略,通过实时协调抓取系统时间用户查询并解决此问题。实验表明,与常规搜索引擎爬虫相比,QTC驱动的爬虫显着提高了搜索结果的新鲜度,并更有效地利用了资源。

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