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Understanding Recommender Systems
Manage episode 390769892 series 3455633
Innhold levert av Dr Davide F George and Dr David F George. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Dr Davide F George and Dr David F George eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Steve Jobs once famously said, "People don't know what they want until you show it to them."
In today's digital age, we often face a persistent challenge: the overwhelming abundance of information.
Simply too much choice.
The concept of Recommendation Systems, also known as Recommender Systems or Recommender Engines, has seamlessly integrated itself into our daily routines, becoming indispensable tools that help us discover relevant content, products, and services tailored to our unique interests
The primary focus of recommender systems is to deliver recommendations through the analysis of a users data, encompassing both explicit and inferred interests. Recommender systems have proven to be highly versatile and useful across a range of different contexts.
https://www.choicemaster.org/
david@choicemaster.org
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