Instant gratification

Trakt Feature Requests
1

'the data sources for the recommendation system of Netflix are:

  • A set of several billion ratings from its members. More than a million new ratings are being added every day
  • They use a popularity metric in many aspects and compute them differently. For example, they compute it hourly, daily or weekly. They also examine clusters constituting members either geographically or by using other similarity metrics. These are some of the different dimensions over which popularity is computed
  • Stream related data such as the duration, time of playing, type of the device, day of the week and other context-related information
  • The pattern and the titles that their subscribers add to their queues each day which are millions in number
  • All the metadata related to a title in their catalog such as director, actor, genre, rating and reviews from different platforms
  • Recently they have added social data of a user so that they can extract social features related to them and their friends to provide better suggestions
  • The search-related text information by Netflix subscribers or members
  • Apart from internal sources of data they also use external data such as box office information, performance and critic reviews
  • Other features such as demographics, culture, language, and other temporal data is used in their predictive models’

'As shown by the image below, when a user searched for the book Harry Potter and the Philosopher’s Stone, several recommendations were given.
image
‘Shoppers buy for instant gratification, instant mood uplift’
‘Ratings are important in the sense that they tell you what a user feels about a product. User’s feelings about a product can be reflected to an extent in the actions he or she takes such as likes, adding to shopping cart, purchasing or just clicking. Recommendation systems can assign implicit ratings based on user actions. The maximum rating is 5. For example, purchasing can be assigned a rating of 4, likes can get 3, clicking can get 2 and so on’
‘According to Netflix, the company estimates that they have about 90 seconds to grab a consumer’s attention. In order to do this, they need to make sure they are promoting videos with a strong likelihood of being viewed’
‘According to consumer reports, 74% of customers feel frustrated when website content is not personalized’

2

What’s the goal of this post?

Or are you trying to revive/duplicate this earlier thread?

3

The goal of all my feedback is to inform trakt about the need of the end-consumer

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