Date of Award

Spring 5-6-2022

Document Type

Honors Project

University Scholars Director

Dr. Christine Chaney

First Advisor/Committee Member

Dr. Peg Achterman

Second Advisor/Committee Member

Dr. Carlos Arias


Content Analysis, Book Recommendation, Recommender System, Mobile Application


Book recommendation applications combine word-of-mouth recommendations with algorithms that can suggest books based on a user’s account activity, creating a robust system for finding new books to read. Current research on recommendation systems is purely quantitative, focusing on the efficacy of the system, and content analyses are only just beginning to be performed on mobile applications. I use previous content analyses on applications as a basis for creating a content analysis framework for book recommendation applications. This framework can be used to analyze what users find important in book recommendation apps and inform app creators about their users’ wants and needs.


A project submitted in partial fulfillment of the requirements for the Bachelor of Arts degree in Honors Liberal Arts Seattle Pacific University 2022

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