forked from huazhengwang/huazhengwang.github.io
-
Notifications
You must be signed in to change notification settings - Fork 1
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
aaff397
commit da9935e
Showing
2 changed files
with
100 additions
and
1 deletion.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,97 @@ | ||
| <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" | ||
| "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd"> | ||
| <html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en"> | ||
| <head> | ||
| <meta name="generator" content="jemdoc, see http://jemdoc.jaboc.net/" /> | ||
| <meta http-equiv="Content-Type" content="text/html;charset=utf-8" /> | ||
| <link rel="stylesheet" href="jemdoc.css" type="text/css" /> | ||
| <title>AI539: Advanced Information Retrieval – Spring 2024</title> | ||
| </head> | ||
| <body> | ||
| <table summary="Table for page layout." id="tlayout"> | ||
| <tr valign="top"> | ||
| <td id="layout-menu"> | ||
| <div class="menu-category">Huazheng Wang</div> | ||
| <div class="menu-item"><a href="index.html" class="current">Home</a></div> | ||
| <div class="menu-item"><a href="index.html" class="current">Publication</a></div> | ||
| <div class="menu-item"><a href="teaching.html">Teaching</a></div> | ||
| <div class="menu-item"><a href="https://github.com/huazhengwang/">GitHub</a></div> | ||
| <div class="menu-item"><a href="https://scholar.google.com/citations?user=w3PrbKwAAAAJ&hl=en">Google Scholar</a></div> | ||
| </td> | ||
| <td id="layout-content"> | ||
| <div id="toptitle"> | ||
| <h1>AI539: Advanced Information Retrieval – Spring 2024</h1> | ||
| </div> | ||
| <h2>Course Description</h2> | ||
| <p>This course covers the foundations and recent advancements of Information Retrieval (IR). The course focues on the design and implementation of text-based information systems such as search engine and recommender systems. We will covers topics including crawling and indexing, query understanding, (large) language models, learning to rank, interactive search, evaluation and user models, question answering, conversational system, and neural models for IR. </p> | ||
| <h2>Course Information</h2> | ||
| <h3>Lectures</h3> | ||
| <p>Tuesday & Thursday 4:00-5:20pm at Weniger Hall 275</p> | ||
| <h3>Instructor</h3> | ||
| <p><a href="https://huazhengwang.github.io/">Huazheng Wang</a> <br /> | ||
| Email: huazheng.wang [at] oregonstate.edu <br /> | ||
| Office: KEC 3097 <br /> | ||
| Office hours: Tuesday 2-4pm, KEC 3097; Friday 1-2pm, KCE3097/Zoom (by appointment)<br /></p> | ||
| <h3>Contact</h3> | ||
| <p>We will use Canvas for posting slides and assignments, and Discord for communication. See Canvas announcements for the link to Discord channel. </p> | ||
| <h2>Prerequisites</h2> | ||
| <ul> | ||
| <li><p>Python. We will use Python/Jupyter notebook for programming assignments. </p> | ||
| </li> | ||
| <li><p>Basic knowledge of probability and statistics.</p> | ||
| </li> | ||
| <li><p>Basic understanding of machine learning / deep learning.</p> | ||
| </li> | ||
| </ul> | ||
| <h2>Schedule</h2> | ||
| <table id="lecture table"> | ||
| <tr class="r1"><td class="c1">Week </td><td class="c2">Date </td><td class="c3">Lecture </td><td class="c4">Readings </td></tr> | ||
| <tr class="r2"><td class="c1">Week 1 </td><td class="c2">4/2 </td><td class="c3">Introduction to the course, Information retrieval basics </td><td class="c4">[MRS] Ch 1. </td></tr> | ||
| <tr class="r3"><td class="c1"></td><td class="c2">4/4 </td><td class="c3">Web crawling, text processing, inverted index </td><td class="c4">[MRS] Ch 2, Ch 20, Ch 4. </td></tr> | ||
| <tr class="r4"><td class="c1">Week 2 </td><td class="c2">4/9 </td><td class="c3">Vector space models and probabilistic retrieval models </td><td class="c4">[MRS] Ch 6, Ch 11. </td></tr> | ||
| <tr class="r5"><td class="c1"></td><td class="c2">4/11 </td><td class="c3">IR evaluations and metrics </td><td class="c4">[MRS] Ch 8. </td></tr> | ||
| <tr class="r6"><td class="c1">Week 3 </td><td class="c2">1/16 </td><td class="c3">Modern IR evaluations </td><td class="c4">[MRS] Ch 8. </td></tr> | ||
| <tr class="r7"><td class="c1"></td><td class="c2">1/18 </td><td class="c3">Language models </td><td class="c4">[MRS] Ch 6, Ch 11. </td></tr> | ||
| <tr class="r8"><td class="c1">Week 4 </td><td class="c2">4/23 </td><td class="c3">Learning to rank </td><td class="c4">[MRS] Ch 12. </td></tr> | ||
| <tr class="r9"><td class="c1"></td><td class="c2">4/25 </td><td class="c3">Relevance feedback, implicit feedback and click model </td><td class="c4">[MRS] Ch 13, Ch 14. </td></tr> | ||
| <tr class="r10"><td class="c1">Week 5 </td><td class="c2">4/30 </td><td class="c3">Unbiasedness, fairness and robustness in IR </td><td class="c4"> </td></tr> | ||
| <tr class="r11"><td class="c1"></td><td class="c2">5/2 </td><td class="c3">Neural IR and distributed representation learning for text </td><td class="c4"> </td></tr> | ||
| <tr class="r12"><td class="c1">Week 6 </td><td class="c2">5/7 </td><td class="c3">Neural ranking models and Dense retrieval </td><td class="c4"> </td></tr> | ||
| <tr class="r13"><td class="c1"></td><td class="c2">5/9 </td><td class="c3">Recommender system and Information filtering </td><td class="c4"> </td></tr> | ||
| <tr class="r14"><td class="c1">Week 7 </td><td class="c2">5/14 </td><td class="c3">Midterm Exam </td><td class="c4"> </td></tr> | ||
| <tr class="r15"><td class="c1"></td><td class="c2">5/16 </td><td class="c3">Question answering and conversational system </td><td class="c4"> </td></tr> | ||
| <tr class="r16"><td class="c1">Week 8 </td><td class="c2">5/21 </td><td class="c3">Retrieval-Augmented Generation </td><td class="c4"> </td></tr> | ||
| <tr class="r17"><td class="c1"></td><td class="c2">5/23 </td><td class="c3">Link analysis </td><td class="c4"> </td></tr> | ||
| <tr class="r18"><td class="c1">Week 9 </td><td class="c2">5/28 </td><td class="c3">Guest lecturer (tentative) </td><td class="c4"> </td></tr> | ||
| <tr class="r19"><td class="c1"></td><td class="c2">5/30 </td><td class="c3">Interactive information retrieval and online learning </td><td class="c4"> </td></tr> | ||
| <tr class="r20"><td class="c1">Week 10</td><td class="c2">6/4 </td><td class="c3">Project presentations </td><td class="c4"> </td></tr> | ||
| <tr class="r21"><td class="c1"></td><td class="c2">6/6 </td><td class="c3">Project presentations </td><td class="c4"> | ||
| </td></tr></table> | ||
| <h2>Gradings</h2> | ||
| <ul> | ||
| <li><p>Homework – (2*15%) 30% <br /></p> | ||
| </li> | ||
| <li><p>Quiz - 5%</p> | ||
| </li> | ||
| <li><p>Midterm - 20%</p> | ||
| </li> | ||
| <li><p>Paper presentation – 10% <br /></p> | ||
| </li> | ||
| <li><p>Final project – 30% <br /></p> | ||
| </li> | ||
| <li><p>Total – 100% <br /></p> | ||
| </li> | ||
| </ul> | ||
| <h2>Resources</h2> | ||
| <p>Readings: <br /> | ||
| [MRS] Introduction to Information Retrieval. Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schuetze, Cambridge University Press, 2008. <br /></p> | ||
| <div id="footer"> | ||
| <div id="footer-text"> | ||
| Page generated 2024-04-02 15:25:27 PDT, by <a href="http://jemdoc.jaboc.net/">jemdoc</a>. | ||
| </div> | ||
| </div> | ||
| </td> | ||
| </tr> | ||
| </table> | ||
| </body> | ||
| </html> |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters