In search of a good novel, neither reading activity nor querying matter, but examining search results does

S. Oksanen, P. Vakkari
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引用次数: 4

Abstract

Borrowing novels is a major activity in public libraries. However, the interest in developing tools for fiction searching and analyzing the use of these tools is minor. It is studied how tools provided by an enriched public library catalogue are used to access novels to read. 58 users searched for interesting novels to read in a simulated situation where they had only a vague idea of what they would like to read. Data consist of search logs, pre and post search questionnaires and observations. For analyzing associations between novel reading activity, search variables and search success Pearson correlation coefficients were calculated. Based on this information, path models were built for predicting search success, i.e. the interest ratings of the novels found. Investing effort on examining results improves search success, i.e. finding interesting novels, whereas effort in querying has no bearing on it. Novel reading activity was not associated with search process and effort and success variables observed. The results suggest, that in designing systems for fiction retrieval, enriching result presentation with more detailed book information would benefit users in identifying good novels.
在寻找一本好小说时,阅读活动和查询都不重要,重要的是检查搜索结果
借小说是公共图书馆的一项主要活动。然而,开发小说搜索工具和分析这些工具的使用的兴趣是次要的。研究了如何利用丰富的公共图书馆目录提供的工具来获取小说阅读。58名用户在一个模拟情境中搜索有趣的小说,在这个情境中,他们对自己想读的书只有一个模糊的概念。数据包括搜索日志、搜索前后问卷调查和观察结果。为了分析小说阅读活动之间的关联,我们计算了搜索变量和搜索成功的Pearson相关系数。基于这些信息,建立路径模型来预测搜索成功,即找到的小说的兴趣等级。在检查结果上投入精力可以提高搜索成功率,即找到有趣的小说,而在查询上投入精力则与此无关。小说阅读活动与搜索过程、努力和成功变量无关。结果表明,在设计小说检索系统时,用更详细的图书信息丰富检索结果,有利于用户识别好小说。
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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