{"id":521,"date":"2020-01-07T08:40:47","date_gmt":"2020-01-07T08:40:47","guid":{"rendered":"https:\/\/dev08.mm-sb.com\/web05\/?p=521"},"modified":"2020-11-14T04:55:25","modified_gmt":"2020-11-14T04:55:25","slug":"how-companies-are-making-money","status":"publish","type":"post","link":"https:\/\/dev08.mm-sb.com\/web05\/how-companies-are-making-money\/","title":{"rendered":"How companies are making money by recommend system"},"content":{"rendered":"\t\t
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Simply put, a recommender system is an AI algorithm (usually Machine Learning) that utilizes Big Data to suggest additional products to consumers based on a variety of reasons. These recommendations can be based on items such as past purchases, demographic info, or their search history.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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1. There are many types of recommender systems available<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Choosing the right type of recommender system is as important as choosing to utilize one in the first place. Here is a quick overview of the options available to you.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The most important use cases of Natural Language Processing are:<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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2. Reinforcement learning<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Reinforcement Learning differs in its approach from the approaches we\u2019ve described earlier. In RL the algorithm plays a \u201cgame\u201d, in which it aims to maximize the reward. The algorithm tries different approaches \u201cmoves\u201d using trial-and-error and sees which one boost the most profit.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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3. Dataset<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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All the data that is used for either building or testing the ML model is called a dataset. Basically, data scientists divide their datasets into three separate groups:<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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- Training data is used to train a model. It means that ML model sees that data and learns to detect patterns or determine which features are most important during prediction.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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- Validation data is used for tuning model parameters and comparing different models in order to determine the best ones. The validation data should be different from the training data, and should not be used in the training phase. Otherwise, the model would overfit, and poorly generalize to the new (production) data.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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- It may seem tedious, but there is always a third, final test set (also often called a hold-out). It is used once the final model is chosen to simulate the model\u2019s behaviour on a completely unseen data, i.e. data points that weren\u2019t used in building models or even in deciding which model to choose.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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It\u2019s not by any means exhaustive, but a good, light read prep before a meeting with an AI director or vendor \u2013 or a quick revisit before a job interview!\n<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Aron Larsson<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\u2013 CEO, Strategy Director\n<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. <\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Not that long ago, people lived and functioned in tight communities. Every vendor knew their customers personally and could make…<\/p>\n","protected":false},"author":1,"featured_media":7317,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[22],"tags":[32],"_links":{"self":[{"href":"https:\/\/dev08.mm-sb.com\/web05\/wp-json\/wp\/v2\/posts\/521"}],"collection":[{"href":"https:\/\/dev08.mm-sb.com\/web05\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dev08.mm-sb.com\/web05\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dev08.mm-sb.com\/web05\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dev08.mm-sb.com\/web05\/wp-json\/wp\/v2\/comments?post=521"}],"version-history":[{"count":0,"href":"https:\/\/dev08.mm-sb.com\/web05\/wp-json\/wp\/v2\/posts\/521\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dev08.mm-sb.com\/web05\/wp-json\/wp\/v2\/media\/7317"}],"wp:attachment":[{"href":"https:\/\/dev08.mm-sb.com\/web05\/wp-json\/wp\/v2\/media?parent=521"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dev08.mm-sb.com\/web05\/wp-json\/wp\/v2\/categories?post=521"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dev08.mm-sb.com\/web05\/wp-json\/wp\/v2\/tags?post=521"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}