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1 - 6 of 6 search results for `Download the information` |u:www.syslog.cl.cam.ac.uk

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  2. Crowd-sourcing « syslog

    https://www.syslog.cl.cam.ac.uk/tag/crowd-sourcing/
    5 Nov 2023: This is basically a recommendation engine for mobile apps according to user download history, ratings and passive information about how often users run those applications. ... The predictions are achieved by leveraging crowd-sourcing so cars collaborate

  3. Mobisys’11. Day 1 « syslog

    https://www.syslog.cl.cam.ac.uk/2011/06/30/mobisys11-day-1/
    5 Nov 2023: This is basically a recommendation engine for mobile apps according to user download history, ratings and passive information about how often users run those applications. ... The predictions are achieved by leveraging crowd-sourcing so cars collaborate

  4. syslog

    https://www.syslog.cl.cam.ac.uk/page/19/
    5 Nov 2023: This is basically a recommendation engine for mobile apps according to user download history, ratings and passive information about how often users run those applications. ... Andrews. The research question is  how users behave as they share

  5. Mobile « syslog

    https://www.syslog.cl.cam.ac.uk/category/mobile/page/3/
    5 Nov 2023: This is basically a recommendation engine for mobile apps according to user download history, ratings and passive information about how often users run those applications. ... The predictions are achieved by leveraging crowd-sourcing so cars collaborate

  6. Conference « syslog

    https://www.syslog.cl.cam.ac.uk/category/conference/page/10/
    5 Nov 2023: This is basically a recommendation engine for mobile apps according to user download history, ratings and passive information about how often users run those applications. ... The predictions are achieved by leveraging crowd-sourcing so cars collaborate

  7. Sensors « syslog

    https://www.syslog.cl.cam.ac.uk/category/sensors/
    5 Nov 2023: This is basically a recommendation engine for mobile apps according to user download history, ratings and passive information about how often users run those applications. ... The predictions are achieved by leveraging crowd-sourcing so cars collaborate

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