Biography Charu Aggarwal is a Distinguished Research Staff Member (DRSM) at the IBM T. J. Watson ResearchCenter in Yorktown Heights, New York. He completed his Bachelor of Technology in Computer Science from the Indian Institute of Technology at Kanpur in 1993 and his PhD in Operations Research (focus: mathematical optimization) from theMassachusetts Institute of Technology in 1996. He has worked extensively in the field of data mining, with particular interests in data streams, privacy, uncertain data and social network analysis.He has authored 9 books, over 400 papers in refereed venues, and has applied for or been granted over 80 patents. His h-index is 120.Because of the commercial value of his patents,he has received several invention achievement awards and has been designated a Master Inventor at IBM.He has received an IBM Outstanding Technical Achievement Award and a Research Division Award for his contributions to System S, which was the first research prototype of IBM's streaming product (IBM Infosphere Streams). He is a recipient of an IBM Corporate Award (2003) for his work on bio-terrorist threat detection in data streams, a recipient of the IBM Outstanding Innovation Award (2008) for his scientific contributions to privacy technology, and a recipient of two IBM Outstanding Technical Achievement Awards (2008) for his scientific contributions to high-dimensional and data stream analytics. He has received two best paper awards and an EDBT Test-of-Time Award (2014). He is a recipient of the IEEE ICDM Research Contributions Award (2015) and the ACM SIGKDD Innovation Award (2019), which are the two most prestigious awards for influential research in data mining. He is also a recipient of the W. Wallace McDowell Award , the highest award given by the IEEE Computer Society across the field of computer science. He has served as the general or program co-chair of the IEEE Big Data Conference (2014), the ICDM Conference (2015), the ACM CIKM Conference (2015), and the KDD Conference (2016). He has served as the editor-in-chief of the ACM SIGKDD Explorations and is currently an editor-in-chief of the ACM Transactions on Knowledge Discovery and Data Mining as well as that of ACM Books. He is serving or has served as associate editor/action editor of several premier journals including the IEEE Transactions on Knowledge and Data Engineering, the IEEE Transactions on Big Data, the Data Mining and Knowledge Discovery Journal , and the Knowledge and Information Systems Journal. He is a fellow of the IEEE (2010), ACM (2013), and the SIAM (2015) for "contributions to knowledge discovery and data mining algorithms." DBLP Publication Profile Google Scholar Citation Profile C.V. Twitter Profile LinkedIn Profile You can download the postscript/PDF files of my frequently accessed papers from my publication page. A more comprehensive list of publicationsis available from the DBLP database maintained by Michael Ley. Contact Information: Charu Aggarwal IBM T. J. Watson Research Center, 1101 Kitchawan Rd, Yorktown, NY 10598 Email: charu (at) us (dot) ibm (dot) comIn case you have sent me an email at my earlier address withdomain name watson.ibm.com, it is likely that I have not received it.
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The book is available in both hardcopy and in electronic form. The electronic version is available at this Springerlink pointer, which might allow you to download the book for free, depending on your institution's subscriptions. To attempt a free download, click from a computer directly connected to your institution network. To be eligible, your institution must subscribe to "e-book package english Computer Science" or "e-book package english (full collection)". If your institution is eligible, you will see a (free) `Download Book' button. Otherwise you will see a (paid) `Get Access' button. The Springer site uses the domain name of your computer to regulate access. Sometimes you may be able to download it from your library e-collection, even when it is not Web-accessible from your institution. Members of eligible (subscribing) institutions might also be able to buy a low-cost paperback edition ($25 MyCopy edition) from the same Web page at which the free book can be downloaded . RECOMMENDER SYSTEMS: THE TEXTBOOK Recommender Systems: The Textbook (Springer), Authored by Charu Aggarwal, April 2016. -- Comprehensive textbook on recommender systems. Table of Contents Book page with book description, solution manual, and other resources PDF Download Link (Free for computers connected to subscribing institutions only) Buy hard-cover or PDF (for general public- The PDF has embedded links and can be loaded on a kindle reader. The PDF version's equations read better on a kindle e-reader than the kindle edition from Amazon) Buy low-cost paperback edition (Instructions for computers connected to subscribing institutions only) This book covers the topic of recommender systems comprehensively,starting with the fundamentals and then exploring the advanced topics. Thechapters of this book can be organized into three categories: 2ff7e9595c
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