Karen P. Tang

TL;DR: A technique that takes in a name spelling and automatically generates a phonetic cognate in terms of Chinese syllables to be used in retrieval is presented, showing consistent retrieval performance improvement by including the use of named entities in this way.

TL;DR: Significant differences are found in terms of users' decisions about what location information to share, their privacy concerns, and how privacy-preserving their disclosures were in social-driven location sharing.

TL;DR: Preliminary results indicate that GSM-based localization systems have the potential to detect the places that people visit in their everyday lives, and can achieve median localization accuracies of 5 and 75 meters for indoor and outdoor environments, respectively.

TL;DR: This work examines task engagement by studying programmers working on a realistic programming task and builds a statistical model of interruptibility that can support a reduction in costly interruptions while still allowing systems to convey notifications in a timely manner.

TL;DR: Hitchhiking as discussed by the authors treats locations as the primary entity of interest and removes the fidelity tradeoff by preserving the anonymity of reports without reducing the precision of location disclosures, which can support the full functionality of location-based applications without introducing the privacy concerns that would otherwise arise.