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2015 Prepared Talk Proposals

2,318 bytes added, 18:48, 28 October 2014
added propsal for topic spaces app
In 2013, Marmot did extensive usability studies with patrons to determine what was difficult in the catalog. Many patrons had problems sifting through all of the various formats and editions of a title. In 2014 we developed a method for [// grouping records] so only a single work is shown in search results and all formats and editions are listed under that work. We will discuss our definition of a 'work' based on FRBR principles; combining meta data from MARC records with metadata from other sources like OverDrive; the technical details of Record Grouping; the design decisions made during implementation; and the reaction from users and staff.
== Topic Space: a mobile augmented reality recommendation app ==
* Jim Hahn,, University of Illinois at Urbana-Champaign
The Topic Space module ( ) was developed with an IMLS Sparks! Grant to investigate augmented reality technologies for in-library recommendations. The funding allowed for sustained university community collaboration by the University Library, the Graduate School of Library and Information Science, as well as graduate student programmers sourced from the Department of Computer Science. Collaborators designed app functionality and identified relevant open source libraries that could power optical character recognition (OCR) functionality from within the mobile phone. Topic space allows a user to take a picture of an item's call number in the book stacks. The module will show the user other books that are relevant but that are not shelved nearby. It can also show users books that are normally shelved here but that are currently checked out.
Research questions included development of back end (server-side) pattern matching algorithms for recommendations, and a rapid formative evaluation (user testing in Undergrad Library) of interface design that would provide optimal user experience for receiving recommendations and navigation of the book stacks as a context to recommendations. Implications of research and development include best practice recommendations for interface development based on the formative user studies (e.g. communicating what works in this area, and what does not), further – based on the back end API developed for Topic Space, grant staff created web based recommendations that could serve as a new way of providing readers advisory and “more like this” recommendations from discovery interfaces library wide.
The recommender references both shelf locations of an item as well as other items circulation counts to provide recommendations. Outcomes of the grant include the availability of the Topic Spaces module on the Android Play store (select Undergrad library for Topic Space module: ) and an experimental ([ Backbone.js]) Topic Space web app:
[[Category:Talk Proposals]]

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