|Directed Social Queries|
Directed Social Queries
Saiph Savage Angus Forbes Tobias Hollerer
The friend list of many social network users can be very large. This creates challenges when users seek to direct their social interactions to friends that share a particular interest or friends that have the potential of being able to answer a particular question. We present a self-organizing online tool that by incorporating ideas from user modeling and data visualization allows a person to quickly identify which friends best match a social query, enabling precise and efficient directed social interactions. To cover the different modalities in which our tool might be used, we introduce two different interactive visualizations. One view enables a human-in-the-loop approach for result analysis and verification, and, in a second view, location, social affiliations and "personality" data is incorporated, allowing the user to quickly consider different social and spatial factors when directing social queries. We report on a qualitative analysis, which indicates that transparency leads to an increased effectiveness of the system. This work contributes a novel method for exploring online friends
Check out the videos of our tool.
Saiph Savage, Angus Forbes, Rodrigo Savage, Norma Elva Chavez, Tobias Hollerer, Directed Social Queries with Transparent User Models, ACM Symposium on User Interfaces Software and Technology (UIST'12) October 7-10, 2012 | Cambridge, Massachusetts
Angus Forbes, Saiph Savage, Tobias Hollerer, Visualizing and Verifying Directed Social Queries, Proceedings of the IEEE Workshop on Interactive Visual Text Analytics at VisWeek 2012, Seattle Wa
Rodrigo Savage,Tania Nava, Norma Elva Chavez, Saiph Savage, Search on the Cloud File System, Proc. 23rd Parallel and Distributed Computing and Systems Conference (PDCS), in Dallas, Texas, USA December 14-16 2011