Titlebook: Advances in Computational Collective Intelligence; 15th International C Ngoc Thanh Nguyen,János Botzheim,Adrianna Kozierki Conference proce

observatory

Lice692

https://doi.org/10.1057/9780230250987ance is public sentiment, which can often be volatile. To integrate human inputs in a more structured and effective manner, this study explores a combination of the wisdom of crowds concept and machine learning (ML) for stock price prediction. A crowdsourcing study is developed to test three ways to

Glutinous

https://doi.org/10.1057/9780230250987nd neighbor sets. In this paper, we combine observed ratings and reviews from users to calculate their similarity, named RaReSi. This combination is reflected not only in the calculation of user similarity but also in the transformation of the user representation space. Thus, our method effectively

Figate

https://doi.org/10.1057/9780230250987g a dataset collected from . – an online encyclopedia of perfumes. The dataset was obtained using a custom scraper to collect perfume information from . website. We used a quiz GUI in order to collect user preferences and expectations perfume-wise, and to generate the personalized top-most recommend