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  2. fastText - Wikipedia

    en.wikipedia.org/wiki/FastText

    fastText is a library for learning of word embeddings and text classification created by Facebook's AI Research (FAIR) lab. [3] [4] ...

  3. Native advertising - Wikipedia

    en.wikipedia.org/wiki/Native_advertising

    Product placement (embedded marketing) is a precursor to native advertising. The former places the product within the content, whereas in native marketing, which is legally permissible in the US to the extent that there is sufficient disclosure, [11] the product and content are merged.

  4. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

  5. Social network advertising - Wikipedia

    en.wikipedia.org/wiki/Social_network_advertising

    Social network advertising, also known as social media targeting, is a group of terms used to describe forms of online advertising and digital marketing that focus on social networking services. A significant aspect of this type of advertising is that advertisers can take advantage of users' demographic information , psychographics , and other ...

  6. Digital display advertising - Wikipedia

    en.wikipedia.org/wiki/Digital_display_advertising

    Digital display advertising is online graphic advertising through banners, text, images, video, and audio. The main purpose of digital display advertising is to post company ads on third-party websites. [1] [2] A display ad is usually interactive (i.e. clickable), which allows brands and advertisers to engage deeper with the users.

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    The idea of skip-gram is that the vector of a word should be close to the vector of each of its neighbors. The idea of CBOW is that the vector-sum of a word's neighbors should be close to the vector of the word. In the original publication, "closeness" is measured by softmax, but the framework allows other ways to measure closeness.

  8. Meta is reviving facial recognition for Facebook and ... - AOL

    www.aol.com/finance/meta-reviving-facial...

    The tool will compare faces in suspected ads with the public figure’s Facebook and Instagram pages. If there’s a match, and the ad is determined to be a scam, it will be blocked.

  9. Product placement - Wikipedia

    en.wikipedia.org/wiki/Product_placement

    As with most marketing tactics, product placement leads to explicit as well as implicit advertising effects. Explicit effects can be observed directly and are usually visible by higher recall scores. [ 161 ] [ 162 ] They are highly connected to the conscious mind. [ 163 ]