COMPSCI 646 is a graduate-level course in Information Retrieval, the science and engineering of organizing, searching, and making sense of large amounts of mostly unstructured (typically textual) data. The impact of IR research is most visible from the Web search engines, where many people actively interact with IR systems, but IR research goes beyond Web search. The class focuses primarily on the theory, design, and implementation of effective models for information organization and retrieval. The course also covers current research problems and methodologies in the field of IR.
Lectures are on Monday/Wednesday 9:05-10:20am EDT in Zoom. Password can be found in Pizza or your UMass email if you registered by August 20.
Lectures will include both pre-recorded and live material that is recorded for later viewing.
Lecture videos for enrolled students are posted on Moodle (requires login).
Contact: Piazza forum is used for all class communications. For personal matters, you can make a private note visible only to the course instructor. You can also contact us via email addresses above or send anonymous comments on the course using this form.
To better accommodate students from different time zones, please fill out this form.
Proficiency in Python
Programming assignments will be in Python and Java.
Latent Semantic Indexing
Distributed Word Representations
Wed Sep. 30
Distributed Word Representations for IR
Mon Oct. 5
Recurrent Neural Networks and Transformer
Wed Oct. 7
Contextual Word Representations
Mon Oct. 12
Neural Ranking Models
Wed Oct. 14
Mon Oct. 19
Wed Oct. 21
Personalization and Context-Aware Search
Mon Oct. 26
Wed Oct. 28
Mon Nov. 2
Conversation and Dialogue Systems
Wed Nov. 4
User Study and Crowdsourcing
Mon Nov. 9
Cross-Language Information Retrieval
Wed Nov. 11
Mon Nov. 16
Wed Nov. 18
Each student has a total of 6 late days without penalty. You can use up to 3 late days per assignment or project milestone excluding project final report.
Late submission of team assignments will result in each member of the team being charged for the late days.
For example, if a group of two students submitted their project proposal 23 hours after the deadline, this results in 1 late day being used per student.
Once all 6 late days are used, any assignments turned in late will be penalized 20% per late day.
In case of multiple submissions of an assignment, only the last one will be taken into account for the number of late days.
Collaboration and Help
You may discuss the ideas behind assignments with others. You may ask for help understanding class and IR concepts. You may study with friends. However...
The work that you submit must be your own. It may not be copied from the web, from another student in the class, or from anyone else. If you stumble upon and use a solution from the textbook or from class, you are expected to acknowledge the source of the work.
Your effort on exams (mini or final) must be your own. Your homework submissions must be your own work and not in collaboration with anyone. Your project work must be your own work and not a copy of someone else's work.