CSC4170 Web Intelligence and Social Computing

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Breaking News

Dec 14, 2009. The project demo of CSC4170 will be held on this Wednesday(16th, Dec) at 924B of Ho Sin-Hang Engineering Building. You are required to go to following link to sign a timeslot. Each group has 15 minutes, and each group is required to attend 15 minutes earlier than their timeslot. The hard copy report is required to submit at the demo time.

http://spreadsheets.google.com/ccc?key=0ApPqLXd5MIzkdGIwOGJsOXlsbHE1Mnd1QXA1eUc3Unc&hl=en

November 24, 2009. Sample answer of asgn2 is released.
November 11, 2009. Please make sure that you register for the upcoming Public Lecture by Dr. Craig Mundie on “Rethinking Computing” on November 16, 2009 at 4:00 pm at the LT6 Teaching Complex at Western Campus (TCWC). This talk is mandatory for the class so please sign-up <here>.

November 8, 2009. The class on Monday (November 9) will be canceled because Prof. King is out of town for a conference.

October 27, 2009. We will have our Guest Speaker, Dr. Raman Chandrasekar from Microsoft Research on Monday, Novebmer 2, 2009 from 10:30 am to 11:30 am on the topic of ”Page Hunt: Improving Search Engines Using Human Computation Games” in Room 121. Everyone is required to attend.

October 14, 2009. Specifications of programming assignment 1 is updated, and more testcases are provided.

September 15, 2009. Due to the typhoon No. 8 signal still being raised at 8:00 am, our class for today has been canceled. The tutorial will still be carried out in SHB 507 at 6:30 pm.

September 28, 2009. I have updated the class notes on Social Network Analysis and uploaded the latest one on Graph Mining.

September 28, 2009. The project due date has been moved back one week due to the various delays we have had.

2009-10 Term 1

	Lecture I	Lecture II	Tutorial I	Tutorial II
Time	M5, 12:30 pm - 1:15 pm	T3-T4, 10:30 am - 12:15 pm	T11 6:30 pm - 7:15 pm	TBA
Venue	ERB 706	ERB 408	SHB 507	TBA

The Golden Rule of CSC4170: No member of the CSC4170 community shall take unfair advantage of any other member of the CSC4170 community.

Course Description

This course introduces fundamental as well as applied computational techniques for collaborative and collective intelligence of group behaviours on the Internet. The course topics include, but are not limited to: web intelligence, web data mining, knowledge discovery on the web, web analytics, web information retrieval, learning to rank, ranking algorithms, relevance feedback, collaborative filtering, recommender systems, human/social computation, social games, opinion mining, sentiment analysis, models and theories about social networks, large graph and link-based algorithms, social marketing, monetization of the web, security/privacy issues related to web intelligence and social computing, etc.

Learning Objectives

Learning Outcomes

Learning Activities

Lectures
Tutorials
Web resources
Videos
Quizzes
Examinations

Personnel

	Lecturer	Tutor	Tutor
Name	Irwin King	Tom Chao Zhou	Xin Xin
Email	king AT cse.cuhk.edu.hk	czhou AT cse.cuhk.edu.hk	xxin AT cse.cuhk.edu.hk
Office	Rm 908	Room114A	Room101
Telephone	2609 8398
Office Hour(s)	* M10, Monday 4:30 to 5:30 * T3, Tuesday 10:30 to 11:30	Tuesday 15:30 to 16:30	Tuesday 15:30 to 16:30

Note: This class will be taught in English. Homework assignments and examinations will be conducted in English.

Syllabus

The pdf files are created in Acrobat 6.0. Please obtain the correct version of the Acrobat Reader from Adobe.

Week	Date	Topics	Tutorials	Homework & Events	Resources
1	7/9	Introduction to Web Intelligence and Social Computing Web 2.0 01-Introduction.pdf			Tim O'Reilly on Web 2.0, The Economist, 20/3/2009
2	14/9	Introduction to Web Intelligence and Social Computing Podcast090914-01	Regular Expressions Web Crawler		Introduction to Social Networks
3	21/9	Social Networks-Theory Graph Theory 02-SNA.pdf OLD! 02-SNA-01.pdf OLD! 02-SNA-02.pdf NEW!	Graph Visualization	HW #1 (Due on or before 6:30 pm, Friday, 2 October, 2009) grading-asgn1	SWT Theory
4	28/9	Graph Mining 03-GraphMining-01.pdf Podcast090928-01 Podcast090929-01	Graph Mining Algorithms hits.ppt		Generating Random Graphs The Clique Algorithm
5	5/10	Link Analysis 04-LinkAnalysis-01.pdf NEW! Podcast091006-01	PageRank, HITS, etc.	HW #2 hw2 sample answer grading-asgn2 HW Programming #1 HW Programming #1 Testcases (Due on or before 6:30 pm, Monday, 19 October, 2009) grading-programming	Introduction to Information Retrieval
6	12/10	Learning to Rank 05-Learning2Rank-01.pdf OLD! 05-Learning2Rank-02.pdf NEW! Podcast091012-01 Podcast091013-01	PageRank	Project Specification Movie Dataset
7	19/10	Recommender Systems I 06-Recommender-01.pdf	Evaluation Methods
8	26/10	Recommender Systems II Query Expansion CIKM2008 Query Suggestion	QF/IQF	HW #3 (Due: Monday,23 November,18:30)
9	2/11	Human Computation/Social Games 07-HumanComputation-01.pdf NEW!	humancomputation.ppt		Guest Speaker
10	9/11	Crowdsourcing	language model
11	16/11	Q&A Virtual Communities CSC4170-08-QandA.pdf	Wikis, Blogs, etc.	HW #4 (Due: Friday, 4 December 4, 2009, 18:30) gradings asgn4 hw4 sample answer
12	23/11	Privacy and Security of Information Education, Policy 09-Security.pdf NEW!
13	30/11	Wrap Up Project Presentations			EduTech on Social Computing in Education

Web 2.0
- Ajax, CSS,
Social Media
- blogs, microblogs, wikis, mashup,

Class Project

Class Project Presentation Schedule

TING KAM CHEUNG & MA MING CHAO
YANG NGAI KEUNG
YAU MING HIU & CHOW TSZ YEUNG
LAM KA LOK
TUNG WO HOU
WONG YUK KI & TO KA CHUN
LI WAI WA & TSO XIN
TSANG HO KWAN & TANG CHI CHIU
ZACK BUSH
HO CHUN KIU
LEE WING HUNG

Class Project Presentation Requirements

For each group, the total time for the presentation is 15 minutes, including 12 minutes for the talk and 3 minutes for Q&A. The presentation will follow the order above. Since this class will last until the end of all the presentations, if the time is not suitable for you, you can tell us to change your order.
In the presentation, there is no demo part. The demo part is an independent process divided into two sub-sections. The first section will be hold in tutorial time on Dec. 1st. In this section, all the groups should demo your program to the two tutors. The tutors will guide you to revise your program. The second section will be hold on Wednesday, Dec. 16th. In this section, Prof. King will check your program before the final submission of your codes.
For groups implementing graphical algorithms, you should explain one algorithm as detailed as you can in the presentation. You should give an example with the structure of nodes, values, and your calculations. You also need to analyze the complexity of your algorithms and test whether your algorithms can be applied in large graphs. For other groups, you should focus on three aspects including the motivation of your idea, the detailed algorithms, and the justification of your methods comparing to naive methods through experiments.

Examination Matters

Examination Schedule

	Time	Venue	Notes
Midterm Examination Written	TBD	TBD	TBD
Midterm Examination Programming	TBD	TBD	TBD
Final Examination	9/12/2009 Wed. 9:30 am to 11:30 am	Room 103, John Fulton Centre	The final examination covers all materials presented in the class.

CUHK Registration and Examination

Written Midterm Matters

The midterm will test your knowledge of the materials.
Answer all questions using the answer booklet. There will be more available at the venue if needed.
Write legibly. Anything we cannot decipher will be considered incorrect.

Grade Assessment Scheme

Homework Assignments	Project Report	Project Presentation	Final Examination
20%	20%	10%	50%

Assignments (20%)
1. Written assignment
2. Optional quizzes
Project (30%)
1. Report (20%)
2. Presentation (10%)
Final Examination (50%)
Extra Credit (There is no penalty for not doing the extra credit problems. Extra credit will only help you in borderline cases.)

Required Background

Pre-requisites
1. - CSC 1110 or 1130 or its equivalent. (Not for students who have taken CSC 2520).

Reference Books

Book Sources

Academic & Professional Book Centre, 1H Cheong Ming Bldg., 80-86 Argyle St., Kowloon, 2398-2191, 2391-7430 (fax)
Caves Books (H. K.), 4B Ferry St., G/F., Yaumatei, Kowloon, 2780-0987, 2771-2298
Man Yuen Book Company, 45 Parkes street, Jordan Road, Kowloon, Hong Kong, 2366-0594. Not very large, Asian edition books, fair price, wide range, some 10% discount.
Swindon Book Co. Ltd, 13-15 Lock Road, Tsim Sha Tsiu, Kowloon, 2366-8001. One of the largest book stores in Hong Kong, exchange rate is not favorable.
Hongkong Book Centre, 522-7064. A branch of the Swindon book shop.

FAQ

Q: What is departmental guideline for plagiarism?
A: If a student is found plagiarizing, his/her case will be reported to the Department Discipline Committee. If the case is proven after deliberation, the student will automatically fail the course in which he/she committed plagiarism. The definition of plagiarism includes copying of the whole or parts of written assignments, programming exercises, reports, quiz papers, mid-term examinations. The penalty will apply to both the one who copies the work and the one whose work is being copied, unless the latter can prove his/her work has been copied unwittingly. Furthermore, inclusion of others' works or results without citation in assignments and reports is also regarded as plagiarism with similar penalty to the offender. A student caught plagiarizing during tests or examinations will be reported to the Faculty Office and appropriate disciplinary authorities for further action, in addition to failing the course.
Q: What is ACM ICPC?
A: Association of Computer Machinery International Collegiate Programming Contest. Teams from CUHK have done quite well in the previous years. More information on the CSE's programming team can be found at http://www.cse.cuhk.edu.hk/~acmprog.
Q: What are some of the common mistakes made in online and real-time contest?
A: There are a few common mistakes. Please check out this site for more information.