 Knowledge workers need software that is easy to use and intuitive. They need to find their information long after they’ve forgotten where they put their documents and what they named their files. Information retrieval and search are important to making this happen. We are pursuing research in information retrieval, filtering, and management. Other work has explored the use of classification technologies and the development of systems that will enrich the user experience. |
- One Click AccessOne Click Access evaluation at NTCIR
- INTENTSubtopic Mining and Diversified Search evaluation at NTCIR
- U-measureEvaluating summaries, ranked retrieval and sessions seamlessly
- Social Analytics: From Demographics to PsychometricsWe investigate how people's behaviour online can be characterized in terms of psychometric measurements such as the Big-5 personality traits openness, conscientiousness, extraversion, agreeableness, and neuroticism as well as general intelligence and satisfaction-with-life. We investigate patterns of Facebook usage, website preferences, query logs, and Facebook Likes and look for interesting correlations which can be used to predict users behaviours, preferences or characteristics.
Jin-Woo Jeong, Meredith Ringel Morris, Jaime Teevan, and Daniel Liebling, A Crowd-Powered Socially Embedded Search Engine, in Proceedings of ICWSM 2013, AAAI, July 2013
Adam Fourney and Meredith Ringel Morris, Enhancing Technical Q&A Forums with CiteHistory, in Proceedings of ICWSM 2013, AAAI, July 2013
Sanjay Kairam, Meredith Ringel Morris, Jaime Teevan, Daniel Liebling, and Susan Dumais, Towards Supporting Search over Trending Events with Social Media, in Proceedings of ICWSM 2013, AAAI, July 2013
Jinyoung Kim, Gabriella Kazai, and Imed Zitouni, Relevance Dimensions in Preference-based IR Evaluation, in The 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013, Dublin, Ireland, ACM, July 2013
Tiezheng Ge, Kaiming He, Qifa Ke, and Jian Sun, Optimized Product Quantization for Approximate Nearest Neighbor Search, in CVPR 2013, IEEE Computer Society, June 2013
