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John R. Hauser. Kher, Priya Massachusetts Institute of Technology. Integrated Design and Management Program. Massachusetts Institute of Technology. Engineering and Management Program Massachusetts Institute of Technology. Integrated Design and Management Program. 2018-10-15T20:24:30Z 2018-10-15T20:24:30Z 2018 2018 http://hdl.handle.net/1721.1/118542 1055161913 Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 32-33). Delivering quality user experience is the most critical goal of any product development and marketing team in any organization. With the advancement of technologies in the fields of data science and data computation, it is now possible to know users more efficiently and create solutions that satisfy their needs to the fullest. In this thesis, I explore how the digital e-commerce and online content provider companies are utilizing many different personalization methods which are helpful in increasing the rate of successful transactions, however, a similar trend is not visible in SaaS applications. Cloud computation has made software both easily accessible and replaceable, putting a lot of stress on both the value of the product as well as the user experience. Many software companies still follow the traditional approach of creating static personas for product design and marketing purposes and create one fits all solution. Machine/application data, which is continuously generated by the software applications, tracking each and every user activity, can be extremely useful in understanding the user behavior and thus giving companies the ability to create more personalized and adaptive solutions. I explore data generated about a pedagogical website at MIT which is used to support instruction in computation-open to students from all the departments. I applied machine learning algorithms to show that there are different clusters/classes of students in a class. By tracking student activity and performance on class website, it can be predicted which class they belong to. This information can be used to develop customized solutions for all the students. by Priya Kher. S.M. in Engineering and Management 34 pages eng Massachusetts Institute of Technology MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 Engineering and Management Program. Integrated Design and Management Program. Using application generated data to provide personalized user experience in software applications Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="3f1db46c-22bb-4301-85ea-adcba24af6dc"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Using application generated data to provide personalized user experience in software applications</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2018</PublicationDate> <Authors> <Author> <DisplayName>Kher, Priya</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Engineering and Management Program.</Keyword> <Keyword>Integrated Design and Management Program.</Keyword> <Abstract>Delivering quality user experience is the most critical goal of any product development and marketing team in any organization. With the advancement of technologies in the fields of data science and data computation, it is now possible to know users more efficiently and create solutions that satisfy their needs to the fullest. In this thesis, I explore how the digital e-commerce and online content provider companies are utilizing many different personalization methods which are helpful in increasing the rate of successful transactions, however, a similar trend is not visible in SaaS applications. Cloud computation has made software both easily accessible and replaceable, putting a lot of stress on both the value of the product as well as the user experience. Many software companies still follow the traditional approach of creating static personas for product design and marketing purposes and create one fits all solution. Machine/application data, which is continuously generated by the software applications, tracking each and every user activity, can be extremely useful in understanding the user behavior and thus giving companies the ability to create more personalized and adaptive solutions. I explore data generated about a pedagogical website at MIT which is used to support instruction in computation-open to students from all the departments. I applied machine learning algorithms to show that there are different clusters/classes of students in a class. By tracking student activity and performance on class website, it can be predicted which class they belong to. This information can be used to develop customized solutions for all the students.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>