%0 Book Section %1 Guy2018 %A Guy, Ido %B Social Information Access: Systems and Technologies %C Cham %D 2018 %E Brusilovsky, Peter %E He, Daqing %I Springer International Publishing %K social-information-access social-recommendation %P 570--623 %R 10.1007/978-3-319-90092-6_15 %T People Recommendation on Social Media %U https://doi.org/10.1007/978-3-319-90092-6_15 %X 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. %@ 978-3-319-90092-6

@inbook{Guy2018, 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.}, added-at = {2018-05-10T23:14:15.000+0200}, address = {Cham}, author = {Guy, Ido}, biburl = {https://www.bibsonomy.org/bibtex/29f023bd073a0ac6ada7d46e721e39c13/brusilovsky}, booktitle = {Social Information Access: Systems and Technologies}, description = {People Recommendation on Social Media | SpringerLink}, doi = {10.1007/978-3-319-90092-6_15}, editor = {Brusilovsky, Peter and He, Daqing}, interhash = {e34132aa75a3b002526ef2ace0048408}, intrahash = {9f023bd073a0ac6ada7d46e721e39c13}, isbn = {978-3-319-90092-6}, keywords = {social-information-access social-recommendation}, pages = {570--623}, publisher = {Springer International Publishing}, timestamp = {2018-05-10T23:14:15.000+0200}, title = {People Recommendation on Social Media}, url = {https://doi.org/10.1007/978-3-319-90092-6_15}, year = 2018 }