[WebPub] [abcd-www] November 14 (Redmine) and Nov 15 (Optimized Search Tool)

[Tremonte, Donna]

Hello MIT WebPub,

Just a reminder about next weeks meetings, and we will have free candy!

Volunteers needed: Our speakers for the 11/15 meeting are asking for volunteer sites to demo, first two responses will be used, see below.

When: November 14th @ 3:30-5:00pm
Title: Redmine: Project Management and Beyond
Who: Anita Patel
Where: Lamont Library, Forum Room

When: November 15th @ 2:00-3:30pm
Title: Clustering your search queries to improve findability
Who: Ravi Mynampaty and Sophy Bishop
Where: Lamont Library, Forum Room


NOTE: Attendees without a Harvard ID card need to RSVP (to
dtremont at oeb.harvard.edu<mailto:dtremont at oeb.harvard.edu>) for entry to the library.

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Redmine: Project Management and Beyond

Redmine is an open source, project management tool built using Ruby on Rails. This talk will discuss the features of the tool, in addition to how the Berkman Center has adapted and extended Redmine's features for various other uses.

Bio:
Anita Patel is a Web Developer for the Berkman Center for Internet and Society. She has been developing various projects for the Center and the Harvard Library Lab using Ruby on Rails for the past 4 and a half years.

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Clustering your search queries to improve findability

This talk is a case study of how the HBS Information Management Services group developed an inexpensive, repeatable, cookie-cutter process for clustering and categorizing search queries.  You will learn how this process and subsequent analysis is helping us improve search functionality on HBS websites and Intranet sites.   You will hear how this repeatable process was applied at HLS.  Most importantly, you will be able to take the ideas from this presentation and start using them on your own sites right away.

We will aim to make this session as interactive as possible.  If you would like to see how clustering can be applied to your site, and are open to being a guinea pig, please send the following information to searchguy at hbs.edu<mailto:searchguy at hbs.edu> by EOD Nov. 7, 2012.  We will take a stab at clustering your search data and will run through an exercise of developing recommendations for improving search on *your* site based on *your* search data.
(1) Your site URL
(2) The top search queries that users have entered on your site search box.  The more data the better, a year’s worth would be good.  If you don’t have that, then at least a few months.
(3) One or two sentences on what you consider the primary objective of the search functionality on your site.

(Given the time constraints, we will attempt to include data from the first two responses.)

Bio:
Ravi is a hustler getting through life pretending to know more about search than he actually does.  Formally trained as an engineer, he was recently naturalized into Information Management of which he is a very happy citizen. Ravi believes that making incremental changes is an effective way of improving search and tries to make this happen on a daily basis. He is currently running the findability program at Harvard Business School.

Sophy is a student at Simmons College Graduate School of Library and Information Science where she focuses on information organization and user experience (UX). She works part time at the HLS Office of Communications and has interned at America's Test Kitchen in their production department and in the Information Management Services department at HBS.
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