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  2. Find Anyone Anywhere: Discover FreePeopleSearch’s ... - AOL

    www.aol.com/anyone-anywhere-discover-freepeople...

    Most online people-finder sites charge a small service fee, and the results are based on a standard algorithm that searches through social media networks and other search engines.

  3. Telephone directory - Wikipedia

    en.wikipedia.org/wiki/Telephone_directory

    A telephone directory, commonly called a telephone book, telephone address book, phonebook, or the white and yellow pages, is a listing of telephone subscribers in a geographical area or subscribers to services provided by the organization that publishes the directory. Its purpose is to allow the telephone number of a subscriber identified by ...

  4. Whitepages (company) - Wikipedia

    en.wikipedia.org/wiki/Whitepages_(company)

    Algard was searching for a friend's contact information, and the phone company gave him the wrong number. [4] He thought of an online email directory as an easier way to find people. [5] [6] Algard bought the Whitepages.com domain for $900, [7] [8] which he says was all of his savings at the time. [5]

  5. People search site - Wikipedia

    en.wikipedia.org/wiki/People_Search_site

    A people search site or people finder site is a specialized search engine that searches information from public records, data brokers and other sources to compile reports about individual people, usually for a fee. [1] [2] Early examples of people search sites included Classmates.com [3] and Whitepages.com. [4]

  6. The history of the American phone book - AOL

    www.aol.com/history-american-phone-book...

    1883: The Yellow Pages are invented. The business listings directory got its iconic look by accident in 1883 when a Cheyenne, Wyoming, printer ran out of white paper and made do with yellow paper ...

  7. Advertising, Analytics, and Privacy. - AOL

    privacy.aol.com/legacy/advertising-and-privacy/...

    Advertising companies, including ONE by AOL may collect information about your online activities in this way in order to make predictions about what products or services may be of interest to you. Based on these predictions, we and other companies may categorize you as belonging to a "segment" of users to which advertisers may be interested in ...

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