{"id":3433,"date":"2020-03-04T00:17:01","date_gmt":"2020-03-04T05:17:01","guid":{"rendered":"https:\/\/portfolios.cs.earlham.edu\/?p=3433"},"modified":"2025-04-15T14:46:00","modified_gmt":"2025-04-15T18:46:00","slug":"week-7-elevator-pitch","status":"publish","type":"post","link":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/03\/04\/week-7-elevator-pitch\/","title":{"rendered":"CS 488 &#8211; Elevator Pitch"},"content":{"rendered":"\n<p>My project aims to create a skincare product recommender system based on the user&#8217;s skin type and ingredient composition of a product. The main component of the project is content-based filtering and the secondary component is non content-based filtering. For content-based filtering, a user provides his or her skin type and selects a skincare product from sephora.com. The system then identifies the chemical components of products and uses cosine similarity to recommend products that have similar ingredient compositions. 5 recommendations for each product category are then made and returned to the user. Non content-based filtering allows users not to input the product if they lack knowledge or have not found a product they like. A user provides his or her skin type and desired beauty effect to obtain top 5 product recommendations  across all 6 categories. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>My project aims to create a skincare product recommender system based on the user&#8217;s skin type and ingredient composition of a product. The main component of the project is content-based filtering and the secondary component is non content-based filtering. For &hellip; <a href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/03\/04\/week-7-elevator-pitch\/\">Read More<\/a><\/p>\n","protected":false},"author":78,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[80,94,19],"tags":[],"class_list":["post-3433","post","type-post","status-publish","format-standard","hentry","category-80","category-gyeongeun-lee","category-student"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>CS 488 - Elevator Pitch - CS\/DS Student Portfolios<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2020\/03\/04\/week-7-elevator-pitch\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CS 488 - Elevator Pitch - CS\/DS Student Portfolios\" \/>\n<meta property=\"og:description\" content=\"My project aims to create a skincare product recommender system based on the user&#8217;s skin type and ingredient composition of a product. 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