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dc.contributor.advisor Chithrarajan C
dc.contributor.author Angulgamuwa ANK
dc.date.accessioned 2020
dc.date.available 2020
dc.date.issued 2020
dc.identifier.uri http://dl.lib.uom.lk/handle/123/16494
dc.description.abstract Online review forums and websites are highly popular these days. They enable customers to post online reviews and rate businesses based on their personal experience. These online reviews affect future customer decisions and demands on business. The Influence of the review might be high or low according to its user profile, overall image of the business and the context of the review itself. A well reputed or related user can add more weight to future customer decisions. A business with a popular brand name might not get rejected due to some negative comments. Also these reviews might start a trend on customers visiting that business or leaving that business. The main objective of this research is to predict customer behaviour for a given time period after a certain date using features of previous online reviews. Further to identify trends in customer behaviour and derive trending review topics that persist those trends. en_US
dc.language.iso en en_US
dc.subject COMPUTER SCIENCE – Dissertations en_US
dc.subject COMPUTER SCIENCE AND ENGINEERING - Dissertations en_US
dc.subject ONLINE REVIEWS en_US
dc.subject MULTICLASS CLASSIFICATIONS en_US
dc.subject CHANGE POINT DETECTION en_US
dc.subject TENDING TOPICS en_US
dc.subject FREQUENT ITEMSET MINING en_US
dc.title The Impact of online reviews on customer behavior and usage patterns en_US
dc.type Thesis-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.degree MSc in Computer Science and Engineering en_US
dc.identifier.department Department of Computer Science and Engineering en_US
dc.date.accept 2020
dc.identifier.accno TH4295 en_US


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