News

[News] The group goes to Internships: three summer internships to HP Labs, HPE Vertica and MS Research

HPE Labs Intern: Angen Zheng
HPE Vertica Intern: Anatoli Shein
MS Research Intern: Nick R. Katsipoulakis
  

[News] MDM 2016 paper accepted

Congratulations to Xiaoyu for his MDM2016 paper: MPG: Not so Random Exploration of a City!

Abstract: The proliferation of mobile, ubiquitous and spatial computing has led to a number of services aiming into facilitate the exploration of a city. Platforms such as Foursquare and Yelp curate information about establishments in an area that can then be used for recommendation purposes. Traditionally an approach followed by these systems is to rank places based on their popularity, proximity or any other feature that represents the quality of the venue and then return the top-k of them. However, this approach, while simple and intuitive, is not necessarily providing a diverse set of recommendations, since similar venues typically are ranked closely. Therefore, in this paper we design and introduce MPG (which stands for Mobile Personal Guide), a mobile service that provides a set of diverse venue recommendations better aligned with user preferences. MPG takes into consideration the user preferences (e.g., distance willing to cover, types of venues interested in exploring, etc.), the popularity of the establishments, as well as their distance from the current location of the user by combining them in a single composite score. We evaluate our approach using a large- scale dataset of approximately 14 million venues collected from Foursquare. Our results indicate that MPG can increase coverage of the result set compared to the baselines considered. It further achieves a significantly better Relevancy-Diversity trade-off ratio.

[News] Our group won the people's choice poster award in the CS Day 2016

Xiaoyu Ge and Samanvoy Reddy Panat won the people's choice poster award in the CS day. Their poster was titled "In Search for Relevant, Diverse and Crowd-screen POIs"
Congratulations Xiaoyu!

[News] Thao N. Pham has successfully defended her PhD. thesis entitled exploiting the synergy between scheduling and loading shredding for continuous queries

On Friday, April 8, Thao N. Pham successfully defended her thesis. Congratulations Thao! More information can be found here.

Committee
Panos K. Chrysanthis, Professor, University of Pittsburgh
Alexandros Labrinidis, Associate Professor, University of Pittsburgh
Adam Lee, Associate Professor, University of Pittsburgh
Christos Faloutsos, Professor, Carnegie Mellon University

[News] Dr. Alexandros Labrinidis joins the Editorial Board of VLDB Journal

In addition to already being a member of the editorial board for the Distributed and Parallel Databases journa, Professor Alexandros Labrinidis recently joined the Editorial Board of the Very Large Databases Journal as an Associate Editor. Published on behalf of the VLDB Endowment, this journal contains scholarly contributions that examine information system architectures, the impact of technological advancements on information systems, and the development of novel database applications.

[News] Congratulations to Cory for passing his comprehensive exam

Congratulations to Cory Thoma for passing his comprehensive examination today, putting him one step closer to getting his PhD!

[News] Professor Panos K. Chrysanthis participated in the panel on "BigData - Challenges and Opportunities"

Professor Panos K. Chrysanthis participated in the panel on "BigData - Challenges and Opportunities" of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2014), held on October 24, 2014.

[NEWS] Professors Alexandros Labrinidis and Panos K. Chrysanthis are co-investigators in the newly funded Center for Causal Modeling and Discovery of Biomedical Knowledge from Big Data (CCMD).

Professors Alexandros Labrinidis and Panos K. Chrysanthis are co-investigators in the newly funded Center for Causal Modeling and Discovery of Biomedical Knowledge from Big Data (CCMD), which is one of the 12 new Centers of Excellence funded through NIH's Big Data to Knowledge (BD2K) program.