{"id":204,"date":"2020-10-19T16:22:41","date_gmt":"2020-10-19T16:22:41","guid":{"rendered":"https:\/\/staging-webv2.vue.ai\/glossary\/?post_type=glossary&#038;p=204"},"modified":"2023-04-18T12:57:45","modified_gmt":"2023-04-18T12:57:45","slug":"recommendation-strategy","status":"publish","type":"glossary","link":"https:\/\/www.vue.ai\/glossary\/recommendation-strategy\/","title":{"rendered":"Recommendation Strategy"},"content":{"rendered":"<p><span style=\"font-weight: 400;\"><em><strong>Recommendation Strategies<\/strong><\/em> are complex machine learning models that dictate the logic behind various approaches to <a href=\"https:\/\/www.vue.ai\/products\/product-recommendations\/\">product recommendations<\/a>. Powered by several algorithmic decisions, these recommendation strategies analyze, learn, and discover patterns in user, product, and contextual data to present every user with a personalized experience. They determine which products are included in the experience.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Vue.ai supports the following recommendation strategies:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><strong>Contextual:<\/strong> This strategy tailors recommendations based on product attributes such as color and style, the frequency at which different products are bought together, and how various products are viewed together in a particular session. Some examples of contextual recommendation strategies are:<\/span>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Visually Similar Products<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Similar Products<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Bought Together<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Viewed Together<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><strong>Popularity-based:<\/strong> This strategy delivers recommendations based on product popularity, product ratings, and best sellers. Some examples of popularity-based recommendation strategies include:<\/span>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Best Sellers<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Best Sellers in Category<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Most Popular (Trending)<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Most Popular in Category<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Top Rated<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Most Popular in Geo<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><strong>Journey-based:<\/strong> This strategy recommends products based on a customer&#8217;s past engagement with the website. It displays recently viewed, last purchased, recently purchased, and products similar to those recently viewed. Some examples of journey-based recommendation strategies are:<\/span>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Recently Viewed<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Recently Purchased<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Inspired by browsing history<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Last Purchased<\/span><\/li>\n<li style=\"font-weight: 400;\"><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><strong>Bundling:<\/strong> This strategy recommends a set of products to form an ensemble based on a chosen product. For example, if your customer views a black dress, this strategy displays a black shoe, a handbag, and a belt that can be bought together with the black dress.\u00a0 This strategy applies to the fashion and home decor industry. Some examples of bundling strategies include:<\/span>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Complete the look<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Style it With\/How to wear it<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Curations (by name)<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\"><strong>Profile-based (Collaborative Filtering):<\/strong> This strategy identifies similarities between users based on their website interactions, such as add to carts, product views, products clicked, products liked, etc.,\u00a0 to serve relevant recommendations. The <a href=\"https:\/\/www.vue.ai\/products\/product-recommendations\/\">product recommendation engine<\/a> analyses users\u2019 information with similar tastes to assess the probability that a specific customer may like something. Some examples of profile-based strategies include:<\/span>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Top Picks<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Bought by Others<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Viewed by Others<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Liked by Others<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"author":12,"featured_media":0,"parent":0,"template":"","glossary-cat":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is Recommendation Strategy? - Vue.ai<\/title>\n<meta name=\"description\" content=\"Recommendation Strategies are complex machine learning models that dictate the logic behind various approaches to product recommendations.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.vue.ai\/glossary\/recommendation-strategy\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Recommendation Strategy? 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