Changes between Version 3 and Version 4 of ClassificationOfUsersForAds


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Timestamp:
Jul 14, 2017, 11:23:12 AM (2 years ago)
Author:
psantos
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  • ClassificationOfUsersForAds

    v3 v4  
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    55== Project Details ==
     6
    67The proposed system can be a general user classification
    78mechanism that would allow us to scale app sponsorship for
     
    1415within each group and most downloaded but not yet installed apps per
    1516group. It is considered that this combined marketing research/data
    16 science approach is the best solution to implement a recommender
     17science approach is the best solution to implement a recommendation
    1718system in a very short term. The solution is also scalable and can be
    1819tweaked and improved over time.
    1920The proposed system can be constructed based on a simple three stage
    2021data mining process.
     22
    2123=== Purpose of this project ===
    22 
     24Create a general user classification mechanism that would allow us to scale app recommendations for
     25groups of users with similar interests. This system could be applied to
     26the organic recommendations by the Editorial and Community teams,
     27but also to the Advertising/Monetisation processes.
    2328
    2429
     
    3338=== Road-map ===
    3439
     40July 21st - Multidimensional Scaling done
     41
     42July 28th - Hierarchichal Clustering done
    3543
    3644
     
    4149
    4250=== Trainee Name ===
    43 
     51Pedro Miguel Matias Santos
    4452
    4553=== Past Experience ===
    46 
     54Academic only
    4755
    4856=== Current Situation ===
    49 
     57Summer Intern
    5058
    5159=== Motivation for the Project ===
    52 
     60I am very motivated because I'm planning to take a master in Intelligent Systems and Bid Data.
    5361
    5462== Mentor ==
     63Luis Pinto
     64Pedro Santos
    5565
    56