Search results
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Title
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Art Authentication in an Untagged Art Database
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Author
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Dobbs, Bryan
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Date Created
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2022
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Subjects--Topical
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Computer science, Art--Historiography, Mathematics
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Description
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The identification of the artist of a painting is also known as art authentication, and the answer to this question is manifest through art gallery exhibition and is reinforced through financial transactions. Art authentication has visual influenc...
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Title
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Customer Loyalty Improvement Recommender System (CLIRS)
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Author
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Tarnowska, Katarzyna
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Date Created
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2018
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Subjects--Topical
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Computer science
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Description
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This dissertation presents a novel data-driven approach to solve the problem of improving customer loyalty and customer retention. The data mining concepts of action rules and meta actions are used to extract actionable knowledge from customer sur...
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Title
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DISFLUENT SPEECH SEGMENTS DETECTION AND REMEDIATION
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Author
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Arbajian, Pierre
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Date Created
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2019
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Subjects--Topical
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Information science, Linguistics
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Description
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Speech remediation by identifying those segments which compromise the quality of speech content can be performed by correctly identifying portions of a recording which can be deleted without diminishing from the overall quality of the speech, but ...
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Title
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Developing a Recommender System for Pricing Contemporary Fine Art
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Author
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Powell, Laurel
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Date Created
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2020
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Subjects--Topical
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Computer science
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Description
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The art market is a large and growing part of the global economy. However, uncertainty about prices, which can be problematic for many shareholders, can inhibit the growth of this market. This work discusses methods for the development of a knowle...
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Title
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Hierarchically Structured Recommender System for Improving NPS
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Author
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Kuang, Jieyan
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Date Created
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2016
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Subjects--Topical
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Computer science, Information technology
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Description
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Net Promoter System (NPS) is well known as an evaluation measure of the growth engine of big companies in the business area. The ultimate goal of my research is to build an action rules and meta-actions based recommender system for improving NPS s...
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Title
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Recommender System for Improving Churn Rate
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Author
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Duan, Yuehua
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Date Created
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2022
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Subjects--Topical
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Computer science
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Description
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Customer churn leads to higher customer acquisition cost, lower volume of service consumption and reduced product purchase. Reducing the outflow of the customers by 5% can double the profit of a typical company. Therefore, it is of significant value ...
