Mastering Spark for Data Science by Andrew Morgan & Antoine Amend & David George & Matthew Hallett

Author:Andrew Morgan & Antoine Amend & David George & Matthew Hallett [Morgan, Andrew]
Language: eng
Format: azw3
Publisher: Packt Publishing
Published: 2017-03-29T04:00:00+00:00

Of course, this requires prior knowledge about the customer, their past purchases and you must also have enough information about other customers to compare against. Therefore, a major limiting factor is that items must have been viewed at least once in order to be shortlisted as a potential recommended item. In fact, we cannot recommend an item until it has been seen/bought at least once.

Note

The iris dataset of collaborative filtering is usually done using samples of the LastFM dataset: http://labrosa.ee.columbia.edu/millionsong/lastfm.

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