Ensemble Learning For Television Program Rating Prediction
نویسندگان
چکیده
منابع مشابه
Rating Forecasts for Television Programs
This paper investigates the effect of aggregation and non-linearity in relation to television rating forecasts. Several linear models for aggregated and disaggregated television viewing have appeared in the literature. The current analysis extends this work using an empirical approach. We compare the accuracy of population rating models, segment rating models and individual viewing behaviour mo...
متن کاملRating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models
The Yahoo! music rating data set in KDD Cup 2011 raises several interesting challenges: (1) The data covers a lengthy time period of more than eight years. (2) Not only are training ratings associated date and time information, so are the test ratings. (3) The items form a hierarchy consisting of four types of items: genres, artists, albums and tracks. To capture the rich temporal dynamics with...
متن کاملRating Prediction for Beer
The increasing online reviews regarding products and services have provided an important reference for people considering pruchasing a products. The rating prediction thus can further help online shopping portals to shape their recommendation system by recommending products that might get higher ratings. In this project, we conduct the rating prediction for beer review. We conduct the analysis ...
متن کاملCollaborative Multi-Level Embedding Learning from Reviews for Rating Prediction
We investigate the problem of personalized reviewbased rating prediction which aims at predicting users’ ratings for items that they have not evaluated by using their historical reviews and ratings. Most of existing methods solve this problem by integrating topic model and latent factor model to learn interpretable user and items factors. However, these methods cannot utilize word local context...
متن کاملSoftware Defect Prediction Using Ensemble Learning Survey
Machine learning is a science that explores the building and study of algorithms that can learn from the data. Machine learning process is the union of statistics and artificial intelligence and is closely related to computational statistics. Machine learning takes decisions based on the qualities of the studied data using statistics and adding more advanced artificial intelligence heuristics a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indonesian Journal of Statistics and Its Applications
سال: 2021
ISSN: 2599-0802
DOI: 10.29244/ijsa.v5i2p377-395