ARIST, published annually since 1966, is a landmark publication within the
information science community. It surveys the landscape of information science
and technology, providing an analytical, authoritative, and accessible overview
of recent trends and significant developments. The range of topics varies
considerably, reflecting the dynamism of the discipline and the diversity of
theoretical and applied perspectives. While ARIST continues to cover key topics
associated with "classical" information science (e.g., bibliometrics,
information retrieval), editor Blaise Cronin is selectively expanding its
footprint in an effort to connect information science more tightly with cognate
academic and professional communities.

Contents of Volume 39:
SECTION I: Information Retrieval

Chapter 1: Statistical Language Modeling for Information Retrieval, Xiaoyong
Liu and W. Bruce Croft
Chapter 2: Information Retrieval on the Web, Kiduk
Yang
Chapter 3: Webometrics, Mike Thelwall, Liwen Vaughan, and Lennart
Bj