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Especially for the item recommendation problem, we should recommend items for a user from all the items.
Recommendation problem is a multi-criteria decision making problem.
The recommendation problem can be seen as a big data problem.
In this paper, we present a new method for handling personalized knowledge recommendation problem.
Then, the whole virtual props recommendation problem can be casted into a weak label problem [19].
Moreover, user-based LWMF is more reasonable for item recommendation problem.
Similar(43)
However, two main recommendation problems remain unsolved yet, data sparsity and cold start.
From the five papers, we observe that the DASFAA community is actively engaged in the whole spectrum of data processing problems, from the system-level data update problems to user-level item recommendation problems.
For example, in some of the recommendation problems dealing with millions of users, it is extremely important to have a scalable platform that can handle huge amounts of data processing and it is not absolutely required to have the results in a real-time manner.
Health care recommendation problems have drawn researchers' attention for years.
The third step would consist of the actual implementation of agreed measures with a detailed record of time taken to implement each of the recommendations, problems encountered and how these were overcome or not.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com