TY - CHAP
T1 - People recommendation on social media
AU - Guy, Ido
N1 - Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
KW - Followee recommendation
KW - Friend recommendation
KW - People recommendation
KW - People recommender systems
KW - Profile matching
KW - Recommending people
KW - Social matching
KW - Stranger recommendation
UR - http://www.scopus.com/inward/record.url?scp=85046706928&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-90092-6_15
DO - 10.1007/978-3-319-90092-6_15
M3 - Chapter
AN - SCOPUS:85046706928
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 570
EP - 623
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
ER -