Towards Personalized Hybrid Recommender System using Average Visit Intervals
M Lee, S Cha - 2020 IEEE International Conference on Big …, 2020 - ieeexplore.ieee.org
The overload of online data creates a problem in filtering information that is appropriate to a
user, which is why many companies and websites utilize recommendation systems. Finding …
user, which is why many companies and websites utilize recommendation systems. Finding …
Candidate-job recommendation system: Building a prototype of a machine learning–based recommendation system for an online recruitment company
N Hafizovic - 2019 - diva-portal.org
Recommendation systems are gaining more popularity because of the complexity of
problems that they provide a solution to. There are many applications of recommendation …
problems that they provide a solution to. There are many applications of recommendation …
Personalized Hybrid Recommender System with Average Time Intervals
M Lee, S Cha - 2021 2nd International Conference for …, 2021 - ieeexplore.ieee.org
Recommendation systems allow users to access contents on their behalf in an overload of
information that is the norm in the world of Internet and data. These recommender systems …
information that is the norm in the world of Internet and data. These recommender systems …
Exploring Methods to Persuade Users to watch Social Problem Films through the Case Study of Race-related Films
C Troyer - 2022 - scholarship.depauw.edu
The present study reports on the success of persuasive techniques and recommendation
engine on persuading participants to choose a race-related movie. The study used a …
engine on persuading participants to choose a race-related movie. The study used a …