The process of discovering appropriate resources in digital libraries within universities is important, as it can have a big effect on whether retrieved works are useful to the requester. The improvement of the user experience with the digital library of the University of Novi Sad dissertations (PHD UNS) through the personalization of search results representation is the aim of the research presented in this paper. There are three groups of PHD UNS digital library users: users from the academic community, users outside the academic community, and librarians who are in charge of entering dissertation data. Different types of textual and visual representations were analyzed, and representations which needed to be implemented for the groups of users of PHD UNS digital library were selected. After implementing these representations and putting them into operation in April 2017, the user interface was extended with functionality that allows users to select their desired style for representing search results using an additional module for storing message logs. The stored messages represent an explicit change in the results representation by individual users. Using these message logs and ELK technology stack, we analyzed user behavior patterns depending on the type of query, type of device, and search mode. The analysis has shown that the majority of users of the PHD UNS system prefer using the textual style of representation rather than the visual. Some users have changed the style of results representation several times and it is assumed that different types of information require a different representation style. Also, it has been established that the most frequent change to the visual results representation occurs after users perform a query which shows all the dissertations from a certain time period and which is taken from the advanced search mode; however, there is no correlation between this change and the client’s device used.

中文翻译：

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搜索结果的个性化 数字图书馆的表示

在大学的数字图书馆中发现适当资源的过程很重要，因为它可以对检索到的作品是否对请求者有用产生重大影响。通过个性化搜索结果表示来改善诺维萨德大学数字图书馆 (PHD UNS) 的用户体验是本文提出的研究目标。PHD UNS数字图书馆用户分为三类：学术界用户、学术界外用户和负责论文数据录入的馆员。分析了不同类型的文本和视觉表示，选择了PHD UNS数字图书馆用户群体需要实现的表示。在实施这些表示并于 2017 年 4 月投入运行后，用户界面扩展了功能，允许用户使用用于存储消息日志的附加模块来选择他们想要的表示搜索结果的样式。存储的消息表示单个用户对结果表示的显式更改。使用这些消息日志和 ELK 技术堆栈，我们根据查询类型、设备类型和搜索模式分析了用户行为模式。分析表明，PHD UNS 系统的大多数用户更喜欢使用文本表示方式而不是视觉方式。一些用户已经多次改变结果表示的风格，并且假设不同类型的信息需要不同的表示风格。还，已经确定，视觉结果表示最频繁的变化发生在用户执行显示某个时间段内的所有论文的查询之后，该查询取自高级搜索模式；但是，此更改与所使用的客户端设备之间没有关联。