K
Kevin Jewell
Researcher at University of Alberta
Publications - 7
Citations - 2696
Kevin Jewell is an academic researcher from University of Alberta. The author has contributed to research in topics: Web page & Session (web analytics). The author has an hindex of 4, co-authored 7 publications receiving 2342 citations.
Papers
More filters
Journal ArticleDOI
HMDB: The human metabolome database
David S. Wishart,Dan Tzur,Craig Knox,Roman Eisner,An Chi Guo,Nelson Young,Dean Cheng,Kevin Jewell,David Arndt,Summit Sawhney,Chris Fung,Lisa Nikolai,Michael J. Lewis,Marie-Aude Coutouly,Ian D. Forsythe,Peter Tang,Savita Shrivastava,Kevin Jeroncic,Paul Stothard,Godwin Amegbey,David Block,David Hau,James Wagner,Jessica Miniaci,Melisa Clements,Mulu Gebremedhin,Natalie Guo,Ying Wen Zhang,Gavin E. Duggan,Glen D. MacInnis,Alim M. Weljie,Reza Dowlatabadi,Fiona Bamforth,Derrick L. J. Clive,Russell Greiner,Liang Li,Thomas J. Marrie,Brian D. Sykes,Hans J. Vogel,Lori M.M. Querengesser +39 more
TL;DR: The Human Metabolome Database is designed to address the broad needs of biochemists, clinical chemists, physicians, medical geneticists, nutritionists and members of the metabolomics community.
Proceedings Article
Using learned browsing behavior models to recommend relevant web pages
TL;DR: The empirical results suggest that these models can identify and satisfy the current information needs of users, even if they browse previously unseen pages containing unfamiliar words.
Journal Article
Off-line evaluation of recommendation functions
TL;DR: In this article, the authors proposed a method for assessing the performance of any Web recommendation function (i.e., user model), M, used in a Web recommender sytem, based on an off-line computation using labeled session data.
Proceedings Article
Goal-directed site-independent recommendations from passive observations
TL;DR: A novel method to find Web pages that satisfy the user’s current information need that can effectively identify the information needs of new users as they browse previously unseen pages, and that it can use this information to help them find relevant pages.