Improved Ranking of Rated Content Through Linear Prediction
Date
2012-12
Authors
Kuykendall, Robert
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The most common methods of ranking rated content do not account for the trend of ratings. However, the perception of quality for rated content may shift over time. We explore incorporating linear prediction of ratings into the calculation of ranking, using linear predictive coefficients. The difference between the mean of predictions and future values was compared to difference between the mean of current and future values. The results show promise and provide motivation for future research.
Description
Keywords
ranking, rating, review, prediction, linear, online, Amazon, LPC, Honors College
Citation
Kuykendall, R. (2012). Improved ranking of rated content through linear prediction (Unpublished thesis). Texas State University-San Marcos, San Marcos, Texas.