مورد إلكتروني
Using Metadata to Understand Search Behavior in Digital Libraries
| العنوان: | Using Metadata to Understand Search Behavior in Digital Libraries |
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| بيانات النشر: | s.n. 2023 |
| تفاصيل مُضافة: | Bogaard, Tessel |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | This thesis explores how search log analysis can be used to gain a deeper understanding of online search behavior in curated collections by leveraging the metadata. For this, we use both the metadata of facets selected in the search interface and the metadata of the clicked documents. Our research is conducted using data from the National Library of the Netherlands, a typical digital library with a richly annotated historical newspaper collection and a faceted search interface. We investigate how to leverage metadata in three analytical settings. First, we analyze the logs using specific metadata values, to study search within specified parts of the collection. The analysis shows that faceted search is common, we observe distinct search patterns in different parts of the collection, and are able to formulate concrete suggestions for improvement of the search system and collection management. This shows how metadata can be used to analyze search behavior in specific parts of a collection. Second, we uncover user interests by clustering over the combined metadata values. We apply a clustering algorithm grouping sessions based on the metadata of selected facets and clicked documents. To evaluate resulting clusters, their stability over a six-month period is measured. The results show that user interests are stable, with the same interests reoccurring and the related search behavior varies per cluster. This demonstrates that a partitioning of sessions based on metadata, and an investigation of the related search behavior reveals specific user needs in specific parts of a collection, where in an overall analysis these patterns would disappear. Third, we explore how to identify search for specific topics when no metadata directly describes these. We look into different, consecutive ways to build a term list as a topic representation: (i) using a knowledge resource, (ii) using local word embeddings trained on the collection, and (iii) by manual curation. Then we look into |
| مصطلحات الفهرس: | metadata, online bibliotheken en archieven, zoekgedrag, zoeken, analytische methodes, data visualisatie, informatie visualisatie, log analyse, gebruikersinteresses, gebruikersonderzoek, digital libraries and archives, search behavior, search, analytical methods, data visualisation, information visualisation, log analysis, user interests, user study, PhD-Thesis - Research and graduation internal |
| DOI: | 10.5463.thesis.213 |
| URL: | |
| الإتاحة: | Open access content. Open access content info:eu-repo/semantics/openAccess |
| ملاحظة: | Vrije Universiteit Amsterdam Repository English |
| أرقام أخرى: | NLVRU oai:research.vu.nl:publications/42593f7e-b758-448f-a992-0f2a5c6cf838 DOI: 10.5463/thesis.213 1375643842 |
| المصدر المساهم: | VRIJE UNIVERSITEIT AMSTERDAM From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1375643842 |
| قاعدة البيانات: | OAIster |
| DOI: | 10.5463.thesis.213 |
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