Utilizing Mind-Maps for Information Retrieval and User Modelling

1

Utilizing Mind-Maps for Information Retrieval and User ModellingJoeran Beel, Stefan Langer, Marcel Genzmehr, Bela Gipp

www.docear.org Docear – The Academic Literature Suite

2

1. Introduction to mind-maps

2. Ideas for utilizing mind-maps beyond their original purpose

3. Prototype for mind-map-based user modeling

Agenda


3

Docear Team


4

Docear (www.docear.org)


5

1. Introduction to Mind-Maps


6

Example Mind-Map: Paper Draft


7



8



9



10



11



12



13



14



15

Example: Conference & Journal Overview


16

Example: Career Planning


17

How to utilize mind-maps beyond their original purpose?

Research Question

Original Purpose Utilized for

Emails CommunicationUser modeling &

personalized advertisement

Social TagsPersonal document

organisationWebsite indexing

Research Articles Publishing research results Impact analysis

Mind-Maps Information management ???


18

2. Ideas for Mind-Map based IR ApplicationsAnd An Analysis of the Feasibility


19

Search Engines for Mind-Maps Document Indexing / Anchor Text

Analysis Document Relatedness Document Summarization Impact Analysis Trend Analysis Semantic Analysis User Modelling

Ideas, Overview


20

Anchor Text Analysis / Website Indexing Document Relatedness / Distance Analysis Semantic Analysis User Modeling

Illustration of some ideas


21

Dozens of mind-mapping tools 2 million active mind-mapping users 5 million new mind-maps every year 300,000+ public mind-maps

Number of (Public) Mind-Maps & Users

2010 2011 2012 2013 2014Public Mind-Maps 67,167 88,624 119,778 195,087 303,084MindMeister 23% 29% 36% 46% 50%Mindomo 28% 24% 21% 23% 20%XMind 37% 37% 35% 23% 16%Mindjet 0% 0% 1% 4% 10%Others 12% 10% 7% 5% 4%

- 50 100 150 200 250 300 350

0%10%20%30%40%50%60%

Thou

sand

s


22

Example of a Mind-Map Gallery


23

Analysis of 19,379 mind-maps Number of nodes per mind-map

Average = a few dozen Maximum = a few thousand

63.88% contain no links, Those who contain links, contain

typically only few

Ideas requiring links are less feasibleText-based ideas are feasible

Content Analysis


24

Up to 61% acceptance for user modeling and recommendations

Around 10% acceptance for other ideas

User modeling is the most feasible idea

Users’ Acceptance


25

3. User Modeling PrototypeA Research Paper Recommender System


26

How to do the user modeling?

?www.docear.org Docear – The Academic Literature Suite

27

Stereotype ApproachRecommend books that we assume to be relevant for researchers

Content Based Filtering Single Node I:

Terms of the last modified node (Recs on each modification)

Single Node II: Terms of the last modified node (Recs every few days)

Single Mind-Map: All terms of the last modified mind-map

All Mind-Maps: All terms of all mind-maps

User Modeling Approaches


28

Recommender System


29

Strong differences depending on the approach

Overall, reasonable CTR, despite the trivial approaches

Results I

0.28% 1.17%6.12% 6.24% 4.99%

0%5%

10%

Single Node(I)

Single Node(II)

CurrentMind-Map

All Mind-Maps

Stereotype

CTR


30

Strong differences depending on the specific parameters (for the „All Mind-Maps“ approach)

Results II

3.16% 4.00%5.94% 6.51% 7.47% 6.28%

[1;9] [10;49]

[50;99]

[100;499]

[500;999]

1000+

Node Count

CTR


31

Questions?

Download Docear: http://www.docear.orgMore research: http://www.docear.org/docear/our-

publications/www.docear.org Docear – The Academic Literature Suite

Documents

Utilizing Mind-Maps for Information Retrieval and User Modelling