Time Based Activity Profiles to Recommend Partnership in a P2P Network
Adriana Santarosa Vivacqua, Carlos E. Mello, Diogo K. de Souza, João A. de Avellar Menezes, Leandro Carreira Marques, Marcos S. Ferreira, Jano Moreira de Souza · 2007
In large communities, finding experts or partners can sometimes be hard. Normally, to find new partners one asks for recommendations from known acquaintances. This is a form of social navigation, whereby one searches for others in the network, who might fit required profiles. Time is an important factor in this type of situation, as needs, interests and expertise levels change rapidly. This paper presents a peer-to-peer system to assist social network navigation and search. It builds user profiles through an analysis of ongoing activities that takes time into account, and matches these to find opportunities for collaboration.