INST 734
Information Retrieval Systems
Fall 2014
Module 9: Monday October 27 to Sunday November 2
This module flips our perspective. Up until now, we have focused on
the case in which the information if fairly static, but the queries
change all the time. In this module, we will look at the opposite
situation, where the information need is fairly static, and the
collection is constantly changing. The module is designed to be
completed in 12 hours over 7 days. As with every module, you must
complete all componentents of this module by midnight on the evening
of the indicated end date for the module.
Module Checklist
The recommended order for completing the activities in this module is:
Check ELMS to see if you have an additional reading summary assigned to you
this week. If so, complete that summary by midnight Thursday and
submit it using ELMS.
Use ELMS to tell me which additional
readings you would prefer to summarize in modules 10, 11, 12, or
13. As usual, please suggest five readings, with at least one from
each module, and please indicate your prefernce order. Please do
this by midnight Sunday night (Niv 2).
Make progress on your project!
If you want to hear some of the topics in this module
presented differently, consider viewing parts of the optional supplementary videos.
Additional readings are assigned
to five students. All students should read the five summaries once
they are posted to ELMS, and all students other than those who wrote a
summary this week should make a comment on the discussion board about
at least one of the summaries (or about someone else's comment on one
of them).
A 2012 guest lecture on Recommendation
Systems by Alpa Jain from Marti Hearst's i290 course on
Analyzing Big Data with Twitter at the University of
California, Berkeley.