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
Keywords
Content Analysis, Book Recommendation, Recommender System, Mobile Application
Abstract
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.
Recommended Citation
Payne, Cypress S., "Read This: A Content Analysis Framework for Book Recommendation Applications" (2022). Honors Projects. 176.
https://digitalcommons.spu.edu/honorsprojects/176
Copyright Status
http://rightsstatements.org/vocab/InC/1.0/
Additional Rights Information
Copyright held by author.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Comments
A project submitted in partial fulfillment of the requirements for the Bachelor of Arts degree in Honors Liberal Arts Seattle Pacific University 2022