Python Machine Learning Projects: Learn how to build Machine Learning projects from scratch by Dr. Deepali R Vora & Dr. Gresha S Bhatia
Author:Dr. Deepali R Vora & Dr. Gresha S Bhatia [Vora, Dr. Deepali R & Bhatia, Dr. Gresha S]
Language: eng
Format: epub, pdf
ISBN: 9789389898279
Publisher: BPB Publications
Published: 2023-04-15T00:00:00+00:00
Basic recommendation systems
The architecture for recommendation systems broadly consists of the candidate generation, scoring and re-ranking components.
Candidate Generation
At this stage, from the huge corpus of data available, the system generates a smaller subset of candidates. The aim is that given a query, the system generates a set of relevant candidates.
Two common candidate generation approaches are listed in Table 4.1:
Type
Example
Content based filtering
If user A watches two cute cat videos, then the system can recommend cute animal videos to that user.
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