基于段评价的搜索引擎结果语义片段构建
Semantic snippet construction for search engine results based on segment evaluation
摘要：
来自搜索引擎的结果列表包括来自每个结果项的网页的链接和摘录。结果列表中的片段在帮助用户点击它方面起着至关重要的作用。本文提出了一种新的方法来构造基于页面中的片段的语义评估的片段。通过应用模型来评估页面中存在的分段并选择具有最高分数的分段来识别目标分段。该模型使得用户判断点击结果项更容易，因为片段是在基于多个因素的关键评估后语义构建的。所提出的模型的原型实现证实了经验验证。
英文摘要：
The result listing from search engines includes a link and a snippet from the web page for each result item. The snippet in the result listing plays a vital role in assisting the user to click on it. This paper proposes a novel approach to construct the snippets based on a semantic evaluation of the segments in the page. The target segment(s) is/are identified by applying a model to evaluate segments present in the page and selecting the segments with top scores. The proposed model makes the user judgment to click on a result item easier since the snippet is constructed semantically after a critical evaluation based on multiple factors. A prototype implementation of the proposed model confirms the empirical validation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
