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RISMitigating Online Product Rating Biases Through the Discovery of Optimistic, Pessimistic, and Realistic Reviewers
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The authors of this work present a model that reduces product rating biases that are a result of varying degrees of customers' optimism/pessimism. Recently, large-scale customer reviews and numerical product ratings have ...
Quantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Some of the challenges that designers face in getting broad external input from customers during and after product launch include geographic limitations and the need for physical interaction with the design artifact(s). ...
Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Lead users play a vital role in next generation product development, as they help designers discover relevant product feature preferences months or even years before they are desired by the general customer base. Existing ...
A Bayesian Sampling Method for Product Feature Extraction From Large Scale Textual Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The authors of this work propose an algorithm that determines optimal search keyword combinations for querying online product data sources in order to minimize identification errors during the product feature extraction ...
Modeling the Semantic Structure of Textually Derived Learning Content and its Impact on Recipients' Response States
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In the United States, the greatest decline in the number of students in the STEM education pipeline occurs at the university level, where students, who were initially interested in STEM fields, dropout or move on to other ...
Dynamic Rendering of Remote Indoor Environments Using Real-Time Point Cloud Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Modern color and depth (RGB-D) sensing systems are capable of reconstructing convincing virtual representations of real world environments. These virtual reconstructions can be used as the foundation for virtual reality ...
A Convolutional Neural Network Model for Predicting a Product's Function, Given Its Form
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Quantifying the ability of a digital design concept to perform a function currently requires the use of costly and intensive solutions such as computational fluid dynamics. To mitigate these challenges, the authors of this ...
Data-Driven Decision Tree Classification for Product Portfolio Design Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The formulation of a product portfolio requires extensive knowledge about the product market space and also the technical limitations of a company’s engineering design and manufacturing processes. ...
Trend Mining for Predictive Product Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The Preference Trend Mining (PTM) algorithm that is proposed in this work aims to address some fundamental challenges of current demand modeling techniques being employed in the product design ...
Optimal Product Portfolio Formulation by Merging Predictive Data Mining With Multilevel Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper addresses two important fundamental areas in product family formulation that have recently begun to receive great attention. First is the incorporation of market demand that we address ...