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Social Information Access pp 570–623Cite as

People Recommendation on Social Media

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10100))

Abstract

The social web has brought about many new types of recommender systems. One of the most important is recommendation of people, which bears many unique characteristics and challenges. In this chapter, we will review much of the research that has studied people recommendation in social media. The three main types of people recommendation are based on the presumed level of relationship of the user with the recommended individuals and thereby the goal of the recommendation: from recommending familiar people the user may invite to their network or meet at a place, through recommending interesting people the user may subscribe to or follow, to recommending similar people the user may want to get familiarize with. We will demonstrate each of these recommendation types and the techniques used to address them through different case studies. We will also discuss related research areas, summarize key aspects, and suggest future directions.

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  1. Ben-Gurion University of the Negev, Beer Sheva, Israel

    Ido Guy

  2. eBay Research, Netanya, Israel

    Ido Guy

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    Peter Brusilovsky

  2. University of Pittsburgh, Pittsburgh, Pennsylvania, USA

    Daqing He

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Guy, I. (2018). People Recommendation on Social Media. In: Brusilovsky, P., He, D. (eds) Social Information Access. Lecture Notes in Computer Science(), vol 10100. Springer, Cham. https://doi.org/10.1007/978-3-319-90092-6_15

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