Research

Papers of LiNCS researchers accepted to ACM/IEEE JCDL

HomeOne research paper authored by Weimao Ke and the other first-authored by Xuemei Gong have been accepted to the ACM/IEEE Joint Conference on Digital Libraries (JCDL'13).

Paper of LiNCS researchers accepted to JASIST

Web search engines are the gateway for users to access health information. This study explored whether a search interface based on the Bing API and enabled by Scatter/Gather, a well-known document clustering technique, can improve health information search. Forty participants without medical background were randomly assigned to two interfaces, a baseline interface that resembles typical Web search engines and a Scatter/Gather interface. Both groups performed two lookup and two exploratory health-related tasks.

Weimao Ke and Javed Mostafa publish in ACM TOIS

With the ubiquitous production, distribution and consumption of information, today’s digital envi- ronments such as the Web are becoming increasingly large and decentralized. It is hardly possible to obtain central control over information collections and systems in these environments. Search- ing for information in these information spaces has brought about problems beyond traditional boundaries of information retrieval (IR) research.

Weimao Ke publishes in the Scientometrics journal

We propose a model to analyze citation growth and influences of fitness (competitiveness) factors in an evolving citation network. Applying the proposed method to modeling citations to papers and scholars in the InfoVis 2004 data, a benchmark collection about a 31-year history of information visualization, leads to findings consistent with citation distributions in general and observations of the domain in particular. Fitness variables based on prior impacts and the time factor have significant influences on citation outcomes.

Scatter/Gather Searching and Browsing with Bing API

Scatter/Gather Browser on TREC HARD track (news)

Scatter/Gather Browser on Computing & Information Sciences

Information theory and retrieval modeling

This research aimed to study existing information theories as well as potential new information measures that can be used for IR modeling, among other applications. I have developed a new theory, namely the Least Information Theory (LIT), and conducted several studies to evaluate its application in IR, which produced very strong empirical results as compared to classic methods derived from existing theories.

Complex systems and networks

My work on distributed IR has drawn on theories and inspirations not only from information retrieval but also from complex networks research (interconnectivity of distributed systems). Understanding structural properties of interconnected systems provides important insight into a broad range of applications such as communication, distributed computing, and bibliometrics (e.g., by taking citations/coauthorships as network edges).

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