WING Monthly MeetingSIGIR 2014 Debrief

25th July 2014

By Jovian Lin

Stats

• 387 full paper submissions

• 6% increase from last year

• 82 (21%) were accepted.

Stats: Top Countries (Full Papers)

USA China Singapore Isreal The Netherlands0%

5%

10%

15%

20%

25%

30%

35%

40%36%

18%

9%

4% 3%

Stats: Top Topics (Full Papers)

Doc Rep

resen

tation &

Content A

nalysis

Queries

& Q

uery Analy

sis

Users

& Inter

active

IR

Retriev

al M

odels &

Rankin

g

Search

Engin

e Archite

ctures

& Sc

alabilit

y

Filter

ing & Rec

ommending

Evaluati

on

Web

IR &

Socia

l Med

ia Se

arch

IR & St

ructu

red Data

Multimed

ia IR

Other

Applications

0%2%4%6%8%

10%12%14%16%18%

13%

16% 17%

9% 8% 8%

5%

13%

1%

5% 5%

Selection Process (1/2)

• Two-tier double-blind review process.

• At least 3 reviewers for each paper.

• Then Primary Area Chair leads a discussion; produces a meta-review.

• Secondary Area Chair (assigned to each paper) double checks the reviews and discussion, and may provide additional reviews

Selection Process (2/2)

• The PC chairs ranked the submitted papers by the meta-review score and then by the average score of the three reviewer scores, carefully examined the reviews and associated discussion.

• The PC chairs first identified "clear accepts" and "clear rejects".

• Then the undecided papers were carefully discussed in a face-to-face PC meeting held in Amsterdam, which involved all available Area Chairs.

Additional Info (1/2)

• Tutorials: 7 out of 17 accepted.

• Workshops: 7 out of 11 accepted.

• Demos: 16 out of 34 accepted.

• Doctoral Consortium: 8 out of 11 accepted.

Additional Info (2/2)

• The short papers track received 263 submissions (3% increase over last year)…

• …and accepted 104 of them (40% acceptance compared to 34% last year).

• For the second year, the short papers are 4 pages long.

The Future…

SIGIR'15: Santiago, Chile (Due: Jan 28, 2015)SIGIR'16: Pisa, ItalySIGIR'17: Tokyo, Japan

CIKM'15: Melbourne, AustraliaCIKM'16: Indianapolis, US

WSDM'15: Shanghai, China

JCDL'15: Tennessee, US

Best Papers

• The SIGIR 2014 Best Paper Award was presented to Giuseppe Ottaviano and Rossano Venturini for their paper “Partitioned Elias-Fano indexes.”

• The Best Student Paper Award was awarded to Dmitry Lagun, Chih-Hung Hsieh, Dale Webster, and Vidhya Navalpakkam for their paper “Towards better measurement of attention and satisfaction in mobile search.”

Learning Similarity of Functions for Topic Detection in Online Reputation

Monitoring

• Problem:– Reputation management experts have to monitor Twitter

constantly to see what is being said.

– Real-time online opinions are now key to understand the reputation of organizations/individuals.

– Managing it manually is costly and unfeasible.

Learning Similarity of Functions for Topic Detection in Online Reputation

Monitoring

• Solution:– Seeing “reputation monitoring” as a topic detection task

• Task Definition:– Given an entity (e.g. Yamaha) and a set of tweets

relevant to the entity, the task consists of identifying tweet clusters, where each cluster represents a topic/event/issue/conversation being discussed in the tweets…

– … just like how it’d be identified by a reputation management expert.

Learning Similarity of Functions for Topic Detection in Online Reputation

Monitoring

• What they did:1. Learn a pairwise tweet similarity function from

previously annotated data.a. Predict whether 2 given tweets are about the same topic or not.b. Use: terms, concepts, hashtags, urls, author, namedusers,

timestamp

2. Use clustering algorithm (based on similarity function) to detect related topics.

• Found: Twitter signals can be used to improve topic detection (compared to content-only).

PHOTOS!!!

Thank You