the conclusion for sigir 2011

Middleware, CCNT, ZJU

The Conclusion for SIGIR 2011

Zhejiang Univ

CCNT

Yueshen XU


目录

IR 领域的思考1

IR 领域中知名学者与研究机构 2

会议本身的体验3

由 SIGIR 想到的其他会议4


从 SIGIR看当今 IR领域的组成

Learning to Rank, Query AnalysisPersonalization, Retrieval ModelWeb IR, Image Search, IndexRecommender System,Multimedia IRVertical & Entity ResearchCommunities, Social Media

Offer Methods: CF, Classification, Clustering

SIGIR/IRSIGIR/IR

Traditional IR

DM NLP&TM

Common

Latent Semantic AnalysisContent Analysis, Sentiment AnalysisLinguistic AnalysisMultilingual IR Text Summarization

Effectiveness, Efficiency


Learning to Rank

Query Analysis

Personalization

Retrieval Model

Web IR

Image Search

Index

Recommender System

Multimedia IR

Vertical & Entity Research

Communities

Social Media

Classification

Clustering

Collaborative Filtering

Traditional IR

当今 IR的领域组成

DM

New Topic

Latent Semantic Analysis

Content Analysis, Sentiment Analysis

Linguistic Analysis

Multilingual IR

Text Summarization

TM&NLP

Effectiveness

Efficiency

Common

Field

Topic

Point


Field

IR Learning to Rank

RankingAdaption

From P

apers

GradientBoostedTree

以后怎么找点，解决问题呢

Field

IR RetrievalModel

Pseudo-RelevanceFeedback

From P

apers

BoostingApproach

Field Topic Point Method


Research Levels

Point

Topic

Field

Discipline

•From Papers•Be cherished

•From tutor or experience•IR,DM,AI,TM,DB,DC

Discipline

Field

Topic

Point•From Conference•Vital

•From your mind•App Math or ..., Not concern

想出的一点研究层次


由 SIGIR形成对 IR的基本认识

Application

System

Demo

Deployment etc.

Methodology

Problem

Relevance Feedback

Ranking Adaption

Active Query etc.

Object of

Research in IR

Algorithm

Mathematic

Strategy

what we what we should should concern concern aboutabout

what those companies are interested in

obtain from those papers


对 IR中方法论的认识

Method-logy

Algorithm

Mathe-matic

Strategy

Mathe-matic

DataStructure

! Index etc.

Text Semantic Analysis etc.

Probability Model, CF, Clustering, Classification etc.------prevail

Architecture, Procedure,-------informal method, associating with corporations and application


从 SIGIR中的 session 看 problem

DataClose to DM

MediumText, Image, Multimedia

InherenceData Structure is vital.

Otherdeployment, linguistic etc.

What should we model and research?

Probability ModelCFClusteringClassification

Text Mining, Content AnalysisSocial MediaText SummarizationSentiment Analysis

RankingQueryIndexRetrieval ModelImage SearchVertical & Entity Search

Interested in by companies


NDCG @N

MAP

P@N

BM 25/BM 25F

TF-IDF

Etc.

LETOR 3.0/4.0:Learning to Rank

TREC web collection

.Gov2

Blog06/08

WT2g/10g

Clue Web 9

AP88~89

COREL: a real image data set

从评估与实验中看标准化

Ranking

RelevanceWeb/Log Collections

Assess with Classical Indicator Test with Standard Data Set

But some companies take advantage of their own data sets, just like Yahoo! and Google.

Fee!


York University IR Lab(Jimmy Huang) Two papers in one session

Dalian Tech Univ, IR Lab One full paper, one poster

Peking Univ, IR Lab Two full papers in one session

etc.

从普通大学的表现看团队的重要性

A research team which pursues one aim has much potential.


目录

IR 领域的思考1





本次会议中的知名华人学者 ( 部分 )

Rong JinMSU Tutorials invited speakerStatistical learningetc.

Luo SiPurdue UnivTutorials invited speakerIntelligent tutoring, text mining for life science etc.

Chengxiang Zhai UIUCKeynote invited speakerText Mining, Machine Learning etc.

Tie-Yan LiuMSRASession Chair &Workshop chairLearning to rank, Large-scale graph learning etc.


本次会议中的知名国外学者 ( 部分 )

W.Bruce Croft UMAProgram Co-chairSession chairWorkshop chair Salton Award

Stephen RobertsonMS and London City UnivSalton Award

Susan DumaisMSOutstanding paper award chairSalton Award

Paul B. KantorRutgers UniversityTutorial invited speakerDistinguished professor of Information Science (Wikipedia)


Involved in10 papers at SIGIR 34th

Gold sponsor of SIGIR 34th

Involved in 19 papers at SIGIR 34th

Diamond sponsor of SIGIR 34th

Universities and Research Labs

IR领域中知名的研究机构

Involved in 4 papers at SIGIR 34th

Bronze sponsor of SIGIR 34th


目录

IR 领域的思考1





Tutorial Introduce those fundamental knowledge, new progresses or some

history.

Main Conference Expound your own paper and evaluate others’ work.

Workshop Discuss about some interesting topics

Coffee break Eat, drink, relax and discuss.

Keynote speech, Industry track, registration etc.

知晓了会议的各个组成部分


Speaker Make people understand your definite meaning.

Understand the queries from questioners.

Audience Prepare well.

Understand what the speaker has done exactly.

Give him/her a question

英语的重要性

I am very sorry that my listening English is not so good.


Tight Schedule From day to night

One paper after another

Parallel

Mass Information and Mathematic Just like etc.

Uninterruptable procedure

身体的重要性

2xxxx

xxxxxxx

You may be worn down if you are involved in it totally.


目录

IR 领域的思考1





SIGKDD

ACM Special Interest Group on Knowledge Discovery and Data Mining

8.21~8.24, 2011, San Diego ， CA

Rank 1

DM & IR

ICDM

IEEE International Conference onData Mining

12.11~12.14, 2011, Vancouver, Canada

Rank 1~

由 SIGIR想到的其他会议


CIKM

ACM Conference on Information and knowledge management

10.24~10.28, 2011,Glasgow, UK

Rank 1

DM & IR

WSDM

ACM International Conference on Web Search and Data Mining

2.8~2.19, 2012,Washington, USA

? ! Young but high quality



WWW

International World Wide Web Conference

4.16~4.20, 2012Lyon, France

Rank 1

DM & IR

PAKDD

Pacific-Asia Conference on Knowledge Discovery and Data Mining

5.29~56.1 ， 2012 ， Kuala Lumpur, Malaysia

Rank 2


TREC? ISWC MLDM ICDE PKDD etc.


Appreciate the guidance and help from Wei Luo

总结与展望

Study mathematic and fundamental concepts Discovery, Read, Write and Publish Papers

the conclusion for sigir 2011

Education