WhatToSee
I have a routine problem that sometimes paper titles are not enough to tell me what papers to read in recent conferences, and I often do not have time to read abstracts fully. This collection of scripts is designed to help alleviate the problem. Essentially, what it will do is compare what papers you like to cite with what new papers are citing. High overlap means the paper is probably relevant to you. Sure there are counter-examples, but overall I have found it useful (eg., it has suggested papers to me that are interesting that I would otherwise have missed). Of course, you should also read through titles since that is a somewhat orthogonal source of information.
Here is how to use the system. You upload your personal bibtex file and have the system compare it to a known conference index; it will then present a list of papers, sorted by relevance. If you want to compare to a conference that is not yet indexed, you need to request that indexing take place. This takes about 30 seconds per paper, so you will probably have to be patient.
We present the Priority R-tree, or PR-tree, which is the first R-tree variant that always answers a window query using O((N/B)1-1/d+T/B) I/Os, where N is the number of d-dimensional (hyper-) rectangles stored in the R-tree, B is the disk block size, and T
I am a researcher in the Text Mining, Search and Navigation group. I am also affiliated with the Machine Learning and Applied Statistics and the Natural Language Processing groups.
Contact Information
I am currently an EPSRC Postdoctoral Research Fellow at the University of Cambridge. I am also a visiting researcher at the Gatsby Computational Neuroscience Unit.
In general my research interests lie in the area of machine learning. More specifically, I am interested in Bayesian statistics, clustering, semi-supervised learning and kernel methods. I have also done research which applies machine learning techniques to problems in computational biology, computer security, and computer vision.
L. Barker, K. Garvin-Doxas, и E. Roberts. Proceedings of the 36th SIGCSE technical symposium on Computer science education, стр. 421--425. New York, NY, USA, ACM, (2005)