Daniel Lemire is especially interested in Data Mining, very large databases (OLAP) as well as in collaborative filtering. en http://www.daniel-lemire.com/en/news.html This month, Steven Keith will be presenting our paper Analyzing Large Collections of Electronic Text Using OLAP during APICS 2005 in Wolfville (Canada). http://www.daniel-lemire.com/en/news.html A paper at IEEE Data Mining (ICDM-05) called An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation was accepted with Martin Brooks et Yuhong Yan. Only 22% of the papers were accepted. Last August, one of my articles was published by the International Journal of Interactive Technology and Smart Education: Collaborative Filtering and Inference Rules for Context-Aware Learning Object Recommendation with Harold Boley, Sean McGrath et Marcel Ball. http://www.daniel-lemire.com/en/news.html AAAI05 accepted our paper Quasi-monotonic segmentation of state variable behavior for reactive control (with Will Fitzgerald and Martin Brooks). The acceptance rate was 27%. http://www.daniel-lemire.com/en/news.html IJCAI05 accepted our paper Scale-Based Monotonicity Analysis in Qualitative Modelling with Flat Segments (with Yuhong Yan and Martin Brooks). The acceptance rate was 18%. http://www.daniel-lemire.com/en/news.html I gave a talk at the "Ateliers du CIRTA" (an eLearning institute) on rating-based collaborative filtering and presented briefly Slope One Collaborative Filtering. http://www.daniel-lemire.com/en/news.html With Anna Maclachlan (now at Idilia Inc.), we got our paper "Slope One Predictors for Online Rating-Based Collaborative Filtering" accepted at SIAM Data Mining 2005. The work reported in this paper served as the foundation for the inDiscover Web site. It describes a very simple, yet reasonably accurate approach to collaborative filtering which is especially easy to implement. The PDF version of the paper is available. http://www.daniel-lemire.com/en/news.html After founding SWIG, we organized the first big SWIG event: SWIG'04. http://www.daniel-lemire.com/en/news.html Our Web site inDiscover is now a Bell Sympatico/MSN site. Bell Canada is one of the largest Canadian company. The web site is a direct result of my research. http://www.daniel-lemire.com/en/news.html I gave a talk at the RALI lab. (University of Montreal) on Rating-Based Collaborative Filtering. Thanks to Guy Lapalme for the invitation. I talked about my work with Anna Maclachlan which lead to inDiscover. http://www.daniel-lemire.com/en/news.html I'm giving a talk at the Language Industry Association (AILIA) in Ottawa: Semantic Web in Brief. I talk about what the Semantic Web really is, that is RDF. I give a brief overview of RDF with applications, but with little to no mention of XML. http://www.daniel-lemire.com/en/news.html With Yuhong Yan and Martin Brooks, we got another conference paper accepted (MBR'04): Monotonicity Analysis for Constructing Qualitative Models. http://www.daniel-lemire.com/en/news.html With Yuhong Yan and Martin Brooks, we published a new paper (MONET Workshop): Monotone Pieces Analysis for Qualitative Modeling. http://www.daniel-lemire.com/en/news.html I was a reviewer for Sreeraman Rajan's Ph.D. thesis supervised by professors Doraiswami and Stevenson, in Electrical and Computer Engineering at the University of New Brunswick. The thesis was on phonocardiograms classification using Morlet wavelets and is entitled A Wavelet-based Correlator Approach for Segmentation and Classification of the First Two Heart Sounds in a PCG Signal. In my humble opinion, it is a very good thesis properly defended. http://www.daniel-lemire.com/en/news.html One of the world's expert in e-Learning, Stephen Downes, took notice of our project indiscover.net in his blog. OLDaily May 13, 2004 by Stephen Downes ----------------------------------------------------------- InDiscover Those of you who heard my talk in Winnipeg last week (or viewed the slides online) will recall my discusion of recommender systems. InDiscover is one such site, a service designed to help bring independent music to new listeners by recommending songs based on users' tastes. The site is run using racofi technology, developed by NRC in Fredericton in conjunction with the Sifter Filter project I described in my talk, and so it gives you a pretty good idea of how such a system would work for learning resources. What I also like about this site is its focus on new and independent musicians, showing how such systems will open the marketplace. Still looking for the RSS metadata feeds from the site, but hey, one thing at a time. The site could also use more songs, so if you know of independent artists looking for exposure, forward them this item. By Various Authors, May, 2004 http://indiscover.net/ http://www.daniel-lemire.com/en/news.html I'm not longer a researcher at the National Research Council of Canada in Fredericton. I've left for a professorship at the University of Québec. It is with regret that I leave the Internet Logic Group, but I remain forever an NRC person. One big difference with my new life in Montréal is that they serve cappucinos on the first floor of the building I work in, as well as at every corner in the neighbourhood. I'm on the corner of Saint-Denis and Mont-Royal which is one of the best place to be in Montréal. If you are looking for a good Ph.D. program, you might want to check out UQAM's informatique cognitive program (French). There is something to be said about a doing your Ph.D. in one of the most exciting cities in the world. http://www.daniel-lemire.com/en/news.html Our Music recommender site, inDiscover is on-line. I think that Sean did a fabulous job on it. The part where I know we got it right is that we ask you to rate independent music and thus, you can listen to the MP3s on-line for free. http://www.daniel-lemire.com/en/news.html