-
Recent Posts
- Tech Sharecase, 8 December 2017
- Technology Sharecase, 10 November 2017
- Tech Sharecase, 20 October 2017
- Tech Sharecase, 8 September 2017
- Tech Sharecase, 5 May 2017
- Tech Sharecase, 21 April 2017
- Tech Sharecase, 18 November 2016
- Tech Sharecase, 23 September 2016
- Tech Sharecase: 28 July 2016
- Tech Sharecase on 10 May 2016
-
Archives
- December 2017
- November 2017
- October 2017
- September 2017
- May 2017
- April 2017
- November 2016
- October 2016
- July 2016
- May 2016
- October 2015
- September 2015
- May 2015
- April 2015
- November 2014
- June 2014
- April 2014
- March 2014
- February 2014
- January 2014
- October 2013
- September 2013
- August 2013
- July 2013
- May 2013
- April 2013
- March 2013
- February 2013
- January 2013
- October 2012
- September 2012
- July 2012
- June 2012
- May 2012
- March 2012
- February 2012
- January 2012
- November 2011
- October 2011
- September 2011
- August 2011
- July 2011
- June 2011
- May 2011
- April 2011
- March 2011
- February 2011
- January 2011
- December 2010
- November 2010
- October 2010
- September 2010
- August 2010
- July 2010
- June 2010
- May 2010
- April 2010
- March 2010
- February 2010
- January 2010
- December 2009
- November 2009
- October 2009
- September 2009
- August 2009
- July 2009
- June 2009
-
Meta
Tag Archives: Recommendation systems
Tech Sharecase, 16 October 2009
Attendees
Arthur Downing, Ellen Kaufman, Stephen Francoeur, Harold Gee, Joseph Hartnett, Ryan Phillips, Mike Waldman
ARC and ALEPH
We discussed the challenges that the CUNY Office of Library Services is facing as it tries to set up ARC (Aleph 500 Reporting Center), which is a product from Ex Libris that allows Aleph 500 customers to generate sophisticated reports on the items in the catalog and their use.
Capturing User Experience
Ryan discussed capturing user experiences, some ideas and tools presented by Michael Lascarides as part of the NYPL Service Excellence symposium in September. Michael Lascarides is a User Analyst with the Digital Experience Group at NYPL. His presentation was titled “Uncovering Stories”. Two takeaways from his presentation discussed were how to capture user experiences and how users react to bad design and bad user experiences. One tool he mentioned for capturing users’ online experiences is Google Analytics, a tool for analyzing web site traffic. (If you are reading this blog post on the web, then you can view the slides from Lascarides’ presentation below.)
20090922 Lascarides
View more documents from DeEtta Jones and Associates.
SFX Page with Links to Google Books
We discussed the draft of the SFX FIND IT page that offers Google Books as a target when the item presented is a book that happens to be fully or partially available in Google Books. We also discussed the problems we had a few years ago with a trial to Safari Books.
SFX and bX
We also discussed the Ex Libris bX Recommender, which would function similarly to the Amazon recommendation feature (i.e., “You might also like…”). This tool, highlighted in Eric’s recent email about SFX options, presents article suggestions when you click the SFX Find It link next to an item in your search results. Stephen mentioned that Dave Pattern of University of Huddersfield gave a presentation at Internet Librarian International on how he uses transaction data from his catalog for “you might like” feature in his catalog. (If you are reading this blog post on the web, you can view the slides below; otherwise, you can find them online at Slideshare.)
ILI2009: Exploiting Usage Data
View more presentations from daveyp.
Posted in Uncategorized
Tagged Amazon.com, ARC, bX, Conferences, CUNY Office of Library Services, E-books, Ex Libris, Ex Libris Aleph, Google Analytics, Google Book Search, Google Books, Google Inc., Internet Librarian International, Michael Lascarides, NYPL, Recommendation systems, Safari Books, SFX, Tech Sharecase, UX, Web analytics
Comments Off on Tech Sharecase, 16 October 2009
Elsevier Tries to Rig Recommendation System in Amazon
This week, it was reported that someone at Elsevier had concocted a plan whereby professors who had adopted a clinical psychology textbook would be encouraged to write positive reviews of the book on Amazon; in return, those professors would receive a $25 Amazon gift card. Read Scott Jaschik’s piece on this in Inside Higher Ed for more details.
Jaschik, Scott. “Elsevier Won’t Pay for Praise.” Inside Higher Ed. 23 June 2009. Web. 24 June 2009.
Posted in Uncategorized
Tagged Amazon.com, Book reviews, Elsevier, Inside Higher Ed, Recommendation systems, Review websites, Scandals, Scott Jaschik, Textbooks
Comments Off on Elsevier Tries to Rig Recommendation System in Amazon