Invitation to submit to Computer Science Review

Computer Science Review (Elsevier)
Information retrieval and the web

Computer Science Review (COSREV) intends to fulfil a need in the Computer Science community by publishing research surveys and expository overviews in computer science and related fields. The reviews are aimed at a general computer science audience seeking a full and expert overview of the latest in computer science research [http://www.journals.elsevier.com/computer-science-review]

COSREV welcomes articles relevant Information Retrieval and the web. Relevant topics include, but are not restricted to, the following subjects:

Classification, Filtering and Recommendation
Content Analysis, Document Indexing and Representation
Context, User Behaviour Analysis, and Personalization 
Datacenters, Content Delivery Networks, and Cloud Computing
Digital Libraries and Information Retrieval
Evaluation 
Graph Analysis
Internet Economics and Monetization
Multimedia Information Retrieval
Pervasive Web and Mobility
Queries and Query Analysis 
Retrieval Models and Ranking 
Security and Privacy
Semantic Web
Semi-structured Data, XML and Information Retrieval 
Social Networks, Crowdsourcing Systems, and Social Media Search
Structured Data and Information Retrieval 
Web Mining

A survey may typically contain the following elements:

• Introduction (including motivation and historical remarks)
• Outline of the Survey
• Basic concepts, examples and results (with sketches of the proofs)
• Comments on the relevance of the results, relations to other results and applications
• Open problems
• Critical review of the relevant literature
• Comprehensive bibliography

Authors should give a clear and well-balanced treatment of their subject. Expanded versions of primary research papers are generally not acceptable. The optimal length for a paper is considered to be approximately 30 printed pages or about 20,000 words, including tables and diagrams.

For questions
___________________________________________________
Massimo Melucci
Associate Professor
Department of Information Engineering
University of Padua
Via G. Gradenigo, 6, 35131, Padova, Italy
massimo.melucci@unipd.it

Received on Tuesday, 28 April 2015 01:39:43 UTC