recommender system, brigham young university, harold b lee library, preferences, graph database
With library users finding their information from other non-library sources, the Harold B. Lee Library at Brigham Young University has great need of a recommender system. The library already has years of checkout data that can be used to jump-start the recommender system's recommendations. Unfortunately, that data is difficult to format in a way that a recommender system can use. With some effort, it can be stored in a graph database and used to generate recommendations for users based on their preferences. Calculating recommendations before they are required and storing them for future use can speed up the amount of time it takes the recommender system to retrieve recommendations.
The Library Student Research Grant program encourages outstanding student achievement in research, fosters information literacy, and stimulates original scholarship.
BYU ScholarsArchive Citation
Brinton, Derrick, "The Feasibility of Implementing a Collaborative Recommender System for the Brigham Young University Harold B. Lee Library" (2012). Student Works. 83.
Harold B. Lee Library
© 2012 Derrick Brinton
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