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Preliminary Papers 3: Information Retrieval
Time: 26/Mar/2018: 1:30pm-3:00pm · Location: Lecture Theatre 5 (Diamond)

Metadata Versus Full-Text: Tracking Electronic Theses and Dissertations (ETDs) Users’ Behavior

Daniel Gelaw Alemneh, Mark Phillips

University of North Texas, United States of America

This presentation provides data from a recent research project at the University of North Texas (UNT) Libraries to better understand how users are discovering electronic theses and dissertations (ETDs) in the UNT Libraries. The data was obtained from server log-that contained more than 178 million lines of requests to extract the specific requests for ETDs in the UNT Digital Library. From these requests, the search query was executed in an ambiguous way (not specific fielded searches) queries were extracted to create a dataset of item-query pairs. These item-query pairs were presented to the Solr full-text indexer that powers the search and retrieval side of the UNT Digital Library to report back on statistics and help to explain whether a specific query was satisfied by either the ETDs full-text, metadata, or by both fields. The re-sulting data helps us understand how our users are arriving at a given ETD in the collection. Among other speculations, the role of metadata for the discovery process, and the possible overlap that is present between metadata and the full-text of the ETD itself will be analyzed and discussed.

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