Information Retrieval

CS 6501 Fall 2014

Paper Presentation

The purpose of this paper presentation is to help students to practice giving talks in front of public at research conferences or other situations.

After each lecture, there will be three to ten recommended readings. Everyone is asked to select one paper from the list, and prepare a 15-minutes presentation for the class. One paper can only be presented by one student. Students are required to prepare the slides by themselves (the original authors' slides are not allowed to be used for this presentation).

It is preferred that the students could present the paper on the day when the topic is covered in the lecture, such that the audiences can get different flavors of the topic. If it is the case, the student presentation will be placed at the end of the class; otherwise, it will be at the beginning of the course. It is not recommended to select a date when the topic has not yet been covered in the lecture.

Both the instructor and other students will grade the presentation. The detailed grading criteria are as follows.

Aspects Score
Slides content was clearly visible and self-explainable 1 5 10
Important messages of the paper were properly highlighted 1 5 10
Organization and logic of the presentation were easy to follow 1 5 15
Explained approaches/methods clearly 0 5 15
Presenter did not just read off of the slides 0 5 10
Responded to audience's questions well 0 5 10
I have learned something from this presentation and would like to read the paper in future 0 5 10


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Name Date Paper Title
Muhammad Yanhaona October 16th Okapi at TREC-3
Md Mustafizur Rahman October 16th Determining the Sentiment of Opinions
Lin Gong October 21th Information retrieval as statistical translation
Nicholas Janus October 21th LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
Sam Hewitt October 23th How much can behavioral targeting help online advertising?
William Hawkins October 23th Mining concepts from code with probabilistic topic models
Lingjie Zhang October 28th A formal study of information retrieval heuristics
Jinghe Zhang October 28th Co-clustering documents and words using bipartite spectral graph partitioning
Shize Su October 30th Context-aware query suggestion by mining click-through and session data
Qingyun Wu November 4th The Query-flow Graph: Model and Applications
Weilin Xu November 6th Document clustering based on non-negative matrix factorization
Haoran Hou November 6th Design of Query Suggestion System using Search Logs and Query Semantics
Jack Lanchantin November 11th #TagSpace: Semantic Embeddings from Hashtags
Krishna Aswani November 11th Twitter Mood Predicts the Stock Market
Hao Wu November 18th What are you looking for? An eye-tracking study of information usage in Web search
Bo Man November 18th Positional relevance model for pseudo-relevance feedback
Md Anindya Tahsin Prodhan November 20th Mining and summarizing customer reviews
Asif Salekin November 20th Opinion observer: analyzing and comparing opinions on the Web
John Clougherty November 25th A case for interaction: a study of interactive information retrieval behavior and effectiveness
Elise Clougherty November 25th Maximizing the spread of influence through a social network
Adam Pearce November 25th What is Twitter, a social network or a news media?
Prasad Seemakurthi December 2nd Training linear SVMs in linear time
Christian K├╝mmerle December 2nd Learning to rank: from pairwise approach to listwise approach