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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Machine Learning Techniques And Use Of Event Information For Stock Market Prediction: A Survey And Evaluation, Paul D. Yoo, Maria H. Kim, Tony Jan
Machine Learning Techniques And Use Of Event Information For Stock Market Prediction: A Survey And Evaluation, Paul D. Yoo, Maria H. Kim, Tony Jan
Maria Kim
This paper surveys machine learning techniques for stock market prediction. The prediction of stock markets is regarded as a challenging task of financial time series prediction. In this paper, we present recent developments in stock market prediction models, and discuss their advantages and disadvantages. In addition, we investigate various global events and their issues on predicting stock markets. From this survey, we found that incorporating event information with prediction model plays very important roles for more accurate prediction. Hence, an accurate event weighting method and a stable automated event extraction system are required to provide better performance in financial time …
Informing Destination Recommender Systems Design And Evaluation Through Quantitative Research, Ulrike Gretzel, Yeong-Hyeon Hwang, Daniel Fesenmaier
Informing Destination Recommender Systems Design And Evaluation Through Quantitative Research, Ulrike Gretzel, Yeong-Hyeon Hwang, Daniel Fesenmaier
Ulrike Gretzel
Purpose - Destination recommender systems need to become truly human-centric in their design and functionality. This requires a profound understanding of human interactions with technology as well as human behavior related to information search and decision-making in the context of travel and tourism. This paper seeks to review relevant theories that can support the development and evaluation of destination recommender systems and to discuss how quantitative research can inform such theory building and testing. Design/methodology/approach - Based on a review of information search and decision-making literatures, a framework for the development of destination recommender systems is proposed and the implications …