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From "Vasia Kalavri (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (FLINK-2452) Add a playcount threshold to the MusicProfiles example
Date Fri, 31 Jul 2015 16:20:04 GMT

     [ https://issues.apache.org/jira/browse/FLINK-2452?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Vasia Kalavri updated FLINK-2452:
---------------------------------
    Summary: Add a playcount threshold to the MusicProfiles example  (was: Add a playcount
threshold to the MusicProfiles examples)

> Add a playcount threshold to the MusicProfiles example
> ------------------------------------------------------
>
>                 Key: FLINK-2452
>                 URL: https://issues.apache.org/jira/browse/FLINK-2452
>             Project: Flink
>          Issue Type: Improvement
>          Components: Gelly
>    Affects Versions: 0.10
>            Reporter: Vasia Kalavri
>            Assignee: Vasia Kalavri
>            Priority: Minor
>
> In the MusicProfiles example, when creating the user-user similarity graph, an edge is
created between any 2 users that have listened to the same song (even if once). Depending
on the input data, this might produce a projection graph with many more edges than the original
user-song graph.
> To make this computation more efficient, this issue proposes adding a user-defined parameter
that filters out songs that a user has listened to only a few times. Essentially, it is a
threshold for playcount, above which a user is considered to like a song.
> For reference, with a threshold value of 30, the whole Last.fm dataset is analyzed on
my laptop in a few minutes, while no threshold results in a runtime of several hours.
> There are many solutions to this problem, but since this is just an example (not a library
method), I think that keeping it simple is important.
> Thanks to [~andralungu] for spotting the inefficiency!



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