Temporally-Aware Signals for Social Search
Ali Khodaei, Omar Alonso · 2012
We propose the inclusion of temporal characteristics into social features when studying social search. The incredible amount of content that is generated by users in social networks offers tremendous opportunity to examine how users produce and consume such content over time. By examining users’ activities over time, there is a potential to learn more about users and their interests over time. This position paper makes the case for incorporating time as another aspect when investigating social search and shows how time can be used for improving current search scenarios or providing new ones.