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  2. Lookalike audience - Wikipedia

    en.wikipedia.org/wiki/Lookalike_audience

    A lookalike audience is a group of social network members who are determined as sharing characteristics with another group of members. [1] In digital advertising, it refers to a targeting tool for digital marketing, first initiated by Facebook, which helps to reach potential customers online who are likely to share similar interests and behaviors with existing customers. [2]

  3. Social network analysis - Wikipedia

    en.wikipedia.org/wiki/Social_network_analysis

    After the initial mapping of the social network is complete, analysis is performed to determine the structure of the network and determine, for example, the leaders within the network. [68] This allows military or law enforcement assets to launch capture-or-kill decapitation attacks on the high-value targets in leadership positions to disrupt ...

  4. Influence diagram - Wikipedia

    en.wikipedia.org/wiki/Influence_diagram

    An influence diagram (ID) (also called a relevance diagram, decision diagram or a decision network) is a compact graphical and mathematical representation of a decision situation. It is a generalization of a Bayesian network , in which not only probabilistic inference problems but also decision making problems (following the maximum expected ...

  5. A look at the ad-targeting tools AggregateIQ left exposed online

    www.aol.com/news/2018-04-13-aggregateiq-ad...

    Throughout discussions about Cambridge Analytica, parent company Strategic Communication Laboratories (SCL) and how they came to obtain information on some 87 million Facebook users, you've ...

  6. Segmenting-targeting-positioning - Wikipedia

    en.wikipedia.org/wiki/Segmenting-Targeting...

    In marketing, segmenting, targeting and positioning (STP) is a framework that implements market segmentation. [1] Market segmentation is a process, in which groups of buyers within a market are divided and profiled according to a range of variables, which determine the market characteristics and tendencies. [ 2 ]

  7. Targeted advertising - Wikipedia

    en.wikipedia.org/wiki/Targeted_advertising

    The idea is to target users specifically and to use this collected data, for example, targeting a male in the age bracket of 18–24. Facebook and other social media platforms use this form of targeting by showing advertisements relevant to the user's demographic on their account, this can show up in the forms of banner ads , mobile ads, or ...

  8. Twitter: A Perfect Example of How Not to Invest - AOL

    www.aol.com/news/2013-12-27-twitter-a-perfect...

    Twitter's recent share-price spike is only one of many examples demonstrating the change in what investors find important. It just happens to be the most ridiculous. It just happens to be the most ...

  9. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Sentiment analysis 2009 [47] [48] A. Go et al. ASU Twitter Dataset Twitter network data, not actual tweets. Shows connections between a large number of users. None. 11,316,811 users, 85,331,846 connections Text Clustering, graph analysis 2009 [49] [50] R. Zafarani et al. SNAP Social Circles: Twitter Database Large Twitter network data.