Graph Databases Amsterdam - Presentation II

Graph Databases Amsterdam - Presentation II

Presentation @ Graph Databases Amsterdam

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Maurits van der Goes

March 08, 2016
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Transcript

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    “Virtual workers are often more productive and more likely to

    remain with the organization.” (Thompson & Caputo, 2009)
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    Logic Data Model User Tribe Part-up City Country Strength ACTIVE_IN

    LIVES_IN LOCATED_IN LOCATED_IN MEMBER_OF PART_OF LOCATED_IN HOLDS
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    GraphAware setup Recommendation engine Post processor Config RewardSameLanguage RewardSameCity RewardSameCountry

    PenalizePartners RewardSameTags Filter FilterOutPrivate FilterOutEnded FilterOutNetwork FilterOutDeactivated MaxRecommendations Blacklist ExistingRelationships NearbyTeamsViaNetworks NearbyTeams Logger StatisticsLogger RecommendationLogger
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    Item-based collaborative filtering algorithm 4,5 2,3 3,7 2,6 3,9 4,1

    Predicted participation score: 3.6 Some relations are not shown for the visibility 0,87321 0,64962
  12. 27.

    Visit Part-up.com Speaker Deck: vdgo.es/GDB010 Icon credits (the Noun Project):

    Aha-Soft, Akshay Kore, Alfredo Hernandez, Creative Stall, Friedemann A, Gregor Črešnar, Luis Prado, icon 54, Kevin Augustine LO, Klara Zalokar, Magicon, Matt Hawdon, Muneer A.Safiah, Nono Martínez Alonso, Simple Icons, Yu luck