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Computer Recommendation in Online Shopping via KNN Algorithm

Computer Recommendation in Online Shopping via KNN Algorithm. Haoji Liu. Background. More and more online shoppers(even though they are just browsing!) 87% of tablet owners made online transactions with their tablet devices during the early Christmas shopping season

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Computer Recommendation in Online Shopping via KNN Algorithm

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  1. Computer Recommendation in Online Shopping via KNN Algorithm • Haoji Liu

  2. Background • More and more online shoppers(even though they are just browsing!) • 87% of tablet owners made online transactions with their tablet devices during the early Christmas shopping season • Many department stores don’t carry physical models in store • 51% of people spend online versus 49% of people spend in stores regarding electronic device purchases • The demand for online shopping is still increasing from various online sources

  3. Motivation • Too many products to choose from • People are generally lazy with comparing products and lack of knowledge to fully understand the real performance and the cost of laptops • Sales staffs in store can be truly helpful if we have them online!

  4. Challenges • The most important part - a good distance calculations model • Reflect each user’s preference(customizable)? • Quantify descriptive features • How to evaluate the performance?

  5. Current Status • Weighted euclidean distance used -- actually not too bad • Data from Bestbuy and NewEgg(479 final entries) • An acceptable recommendation app! • Satisfaction - 5/6 of my friends!

  6. Further Concerns • The effectiveness of data (Is it up-to-date?) • Accuracy of data(Grabbed from Ebay?) • A better distance calculation model needed (i.e Complex similarity calculations) • Possible use of fuzzy set to make it more customizable

  7. Thank you!

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