{"id":55,"date":"2020-10-16T09:56:37","date_gmt":"2020-10-16T09:56:37","guid":{"rendered":"https:\/\/staging-webv2.vue.ai\/glossary\/?post_type=glossary&p=55"},"modified":"2023-09-04T15:12:06","modified_gmt":"2023-09-04T15:12:06","slug":"affinity-based-recommendations","status":"publish","type":"glossary","link":"https:\/\/www.vue.ai\/glossary\/affinity-based-recommendations\/","title":{"rendered":"Affinity-Based Recommendations"},"content":{"rendered":"

Affinity-based recommendations<\/b> are product or content recommendations that are made based on the individual shopper\u2019s Style Profile. These recommendations are usually shown to the shopper on a website, in an email or in a notification. The Style Profiles that determine these recommendations are rich user profiles derived from the shopper\u2019s online behavior, the transactions they make, and their demographic data. All this data is used to map the shopper\u2019s preferences\u2014or <\/span>affinities<\/b>\u2014across a wide range of visual and non-visual attributes. All of this is captured at every point in the shopper\u2019s journey on the website.<\/span><\/p>\n

In apparel retail, visual attributes could include colors, patterns, the length of a sleeve, or neckline and hem length. Non-visual attributes could include occasion, weather, etc. Style Profiles map a shopper\u2019s affinities to these attributes based on their activity and intent on the site. Similarly, for groceries, affinities could include a preference for specific ingredients and brands, dietary restrictions, allergies, etc. The personalization engine<\/a> understands shoppers\u2019 affinities to these attributes.<\/span><\/p>\n

Based on these affinities, and the actions a shopper takes on the site, product recommendations<\/a> are made at every step in the shopper journey. Recommendations that take affinities into consideration are able to provide content that is personalized at an individual level, relevant to the specific point in their shopper journey. They have a greater impact on business outcomes.<\/span><\/p>\n

These Ai personalized recommendations<\/a> understand the shopper\u2019s interactions and intent and could be exhibited at the right points to:<\/span><\/p>\n