In this paper, we propose a joint probabilistic topic model for simultaneously modeling the contents of multi-typed objects of a heterogeneous information network. The intuition b...
Learning to rank represents a category of effective ranking methods for information retrieval. While the primary concern of existing research has been accuracy, learning efficien...
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wiraw...
Many network-based ranking approaches have been proposed to rank objects according to different criteria, including relevance, prestige and diversity. However, existing approache...
We reveal that the Okapi BM25 retrieval function tends to overly penalize very long documents. To address this problem, we present a simple yet effective extension of BM25, namel...
Mining sequential rules from large databases is an important topic in data mining fields with wide applications. Most of the relevant studies focused on finding sequential rules a...
Philippe Fournier-Viger, Roger Nkambou, Vincent Sh...
This paper focuses on designing incentive mechanisms for overlay multicast systems. Existing proposals on the problem are no longer able to provide proper incentives when rational...
We present a strictly bottom-up, summary-based, and precise heap analysis targeted for program verification that performs strong updates to heap locations at call sites. We firs...
Isil Dillig, Thomas Dillig, Alex Aiken, Mooly Sagi...
Highly interactive web applications that offer user experience and responsiveness of desktop applications are becoming increasingly popular. They are often composed out of visual...
Software projects typically rely on system analysts to conduct requirements elicitation, an approach potentially costly for large projects with many stakeholders and requirements....
Source code is the target and final outcome of software development. By focusing our research and analysis on source code only, we risk forgetting that software is the product of...