sigir’13 debrief

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SIGIR’13 Debrief 28 th July - 1 st August Trinity College Dublin (TCD), Dublin, Ireland WING Monthly Meeting (Nov 2013) Jovian Lin

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28 th July - 1 st August Trinity College Dublin (TCD), Dublin, Ireland. SIGIR’13 Debrief. WING Monthly Meeting (Nov 2013) Jovian Lin. Full Paper Acceptance (20%). Top 5 Countries (according to author affiliation). - PowerPoint PPT Presentation

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Page 1: SIGIR’13 Debrief

SIGIR’13 Debrief28th July - 1st August

Trinity College Dublin (TCD), Dublin, Ireland

WING Monthly Meeting (Nov 2013)Jovian Lin

Page 2: SIGIR’13 Debrief

Full Paper Acceptance(20%)

Total Accepted0

50100150200250300350400 366

73Num

ber o

f pap

ers

Page 3: SIGIR’13 Debrief

U.S.A. China Netherlands Singapore U.K.0

5

10

15

20

25

30 28

9

5 5 5

Num

ber o

f ind

ivid

uals

Top 5 Countries (according to author affiliation)

Page 4: SIGIR’13 Debrief

Top 5 Technical Areas(based on primary keyword assigned by accepted papers)

users

and i

nterac

tive I

R

search

engin

e arch

itectu

re an

d scal

ability

queri

es an

d que

ry an

alysis

evalu

ation

retrie

val m

odels

and r

ankin

g048

1216 16 15 15

11 11

Perc

enta

ge

Page 5: SIGIR’13 Debrief

Short Paper Acceptance(34%)

Total Accepted0

50

100

150

200

250

300255

85

Tota

l Num

ber o

f pap

ers

Page 6: SIGIR’13 Debrief

Demonstrations Acceptance(50%)

Total Accepted05

101520253035404550

46

23

Num

ber o

f dem

os

Page 7: SIGIR’13 Debrief

Additional Stats

• 7 workshops• 10 tutorials• Doctoral Consortium hosted 11 students

(from 10 countries and 11 institutions)

Page 8: SIGIR’13 Debrief

PHOTOS

Page 9: SIGIR’13 Debrief

Trinity College Dublin (TCD)

• Founded in 1592.

• One of the oldest universities in Europe.

• 35 acre campus located in the heart (<3) of Dublin city.

Page 10: SIGIR’13 Debrief
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Select an interesting paper in SIGIR’13

• “Opportunity model for e-commerce recommendation: right product; right time”

• By Jian Wang & Yi Zhang (UC Santa Cruz)

Page 16: SIGIR’13 Debrief

“Opportunity model for e-commerce recommendation: right product; right time” – Jian

Wang & Zhang Yi

• Most of existing e-commerce recommender systems aim to recommend the right product to a user;

• based on whether the user is likely to purchase or like a product.

• But the authors say:• “the effectiveness of recommendations also depends

on the time of the recommendation.”

Page 17: SIGIR’13 Debrief

• Example:• User purchases e a replacement battery after 2

years;• and purchases a new laptop in another 2 years.• Thus it’s not a good idea to recommend a new laptop

or a replacement battery right after the user purchased the new laptop.

“Opportunity model for e-commerce recommendation: right product; right time” – Jian

Wang & Zhang Yi

Page 18: SIGIR’13 Debrief

• What their work does:• Model that estimates the joint probability of a user

making a follow-up purchase of a particular product at a particular time.

• i.e., calculate the probability of a user buying item i at time x

• Why I chose this work:• They analyze the recommendation process at a

deeper level – a quality that I focus on as well.

“Opportunity model for e-commerce recommendation: right product; right time” – Jian

Wang & Zhang Yi

Page 19: SIGIR’13 Debrief

THANK YOU