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  2. Likewise, Inc. - Wikipedia

    en.wikipedia.org/wiki/Likewise,_Inc.

    Likewise, Inc., is an American technology startup company which provides a social networking service for finding and saving content recommendations for movies, TV shows, books, and podcasts. [1] A team of ex- Microsoft employees founded Likewise in October 2017 with financial investment from Microsoft co-founder Bill Gates .

  3. LinkedIn - Wikipedia

    en.wikipedia.org/wiki/LinkedIn

    LinkedIn has more than 1 billion registered members from over 200 countries and territories. [7] LinkedIn allows members (both employees and employers) to create profiles and connect with each other in an online social network which may represent real-world professional relationships. Members can invite anyone (whether an existing member or not ...

  4. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  5. Manage contact auto suggestions in AOL Mail

    help.aol.com/articles/manage-contacts-auto...

    Auto suggest saves you time and hassle by filling in email addresses for you. Enter part of someone's name or email in the address fields and get a list of relevant contacts and suggestions to include, based on how often you interact. You can hide the suggestions as needed. Order of auto suggestions

  6. LinkedIn Learning - Wikipedia

    en.wikipedia.org/wiki/LinkedIn_Learning

    LinkedIn Learning is an American online learning platform. It provides video courses taught by industry experts in software, creative, and business skills. It provides video courses taught by industry experts in software, creative, and business skills.

  7. Instagram testing user ability to reset content recommendations

    www.aol.com/instagram-testing-user-ability-reset...

    Instagram is testing the ability for users to reset the recommended content they see on the app and “start fresh” as part of efforts to ensure users have positive experiences on the platform.

  8. Recommender system - Wikipedia

    en.wikipedia.org/wiki/Recommender_system

    A few dozens or hundreds of users are presented recommendations created by different recommendation approaches, and then the users judge which recommendations are best. In A/B tests, recommendations are shown to typically thousands of users of a real product, and the recommender system randomly picks at least two different recommendation ...

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