Keywords

recommender system, brigham young university, harold b lee library, preferences, graph database

Abstract

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.

Description

The Library Student Research Grant program encourages outstanding student achievement in research, fosters information literacy, and stimulates original scholarship.

Document Type

Report

Publication Date

2012

Permanent URL

http://hdl.lib.byu.edu/1877/2949

Language

English

College

Harold B. Lee Library

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