首页|Dublin City University Reports Findings in Machine Learning (Prediction of futur e customer needs using machine learning across multiple product categories)
Dublin City University Reports Findings in Machine Learning (Prediction of futur e customer needs using machine learning across multiple product categories)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Dublin, Ireland, by Ne wsRx editors, research stated, “In recent years, computational approaches for ex tracting customer needs from user generated content have been proposed. However, there is a lack of studies that focus on extracting unmet needs for future popu lar products.” Financial support for this research came from Science Foundation Ireland. Our news journalists obtained a quote from the research from Dublin City Univers ity, “Therefore, this study presents a supervised keyphrase classification model which predicts needs that will become popular in real products in the marketpla ce. To do this, we utilize Trending Customer Needs (TCN)-a monthly dataset of tr ending keyphrase customer needs occurring in new products during 2011-2021 acros s multiple categories of Consumer Packaged Goods e.g. toothpaste, eyeliner, beer , etc. We are the first study to use this specific dataset and employ it by trai ning a time series algorithm to learn the relationship between features we gener ate for each candidate keyphrase on Reddit to the ones in the dataset 1-3 years in the future. We show that our approach outperforms a baseline in the literatur e and through Multi-Task Learning can accurately predict needs for a category it wasn’t trained on e.g. train on toothpaste, cereal, and beer products yet still predict for shampoo products.”
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