1. Utilizing Mind-Maps for Information Retrieval and User Modelling Joeran Beel, Stefan Langer, Marcel Genzmehr, Bela Gipp 1www.docear.org Doc – 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  2www.docear.org Doc – The Academic Literature Suite

3.    3www.docear.org Doc – The Academic Literature Suite

4.    4www.docear.org Doc – The Academic Literature Suite

5. 1. Introduction to Mind-Maps 5www.docear.org Doc – The Academic Literature Suite

6.  6www.docear.org Doc – The Academic Literature Suite

7.  7www.docear.org Doc – The Academic Literature Suite

8.  8www.docear.org Doc – The Academic Literature Suite

9.  9www.docear.org Doc – The Academic Literature Suite

10.  10www.docear.org Doc – The Academic Literature Suite

11.  11www.docear.org Doc – The Academic Literature Suite

12.  12www.docear.org Doc – The Academic Literature Suite

13.  13www.docear.org Doc – The Academic Literature Suite

14.  14www.docear.org Doc – The Academic Literature Suite

15.   15www.docear.org Doc – The Academic Literature Suite

16.  16www.docear.org Doc – The Academic Literature Suite

17.  How to utilize mind-maps beyond their original purpose?  17www.docear.org Doc – The Academic Literature Suite

18. 2. Ideas for Mind-Map based IR Applications And An Analysis of the Feasibility 18www.docear.org Doc – The Academic Literature Suite

19.  Search Engines for Mind-Maps  Document Indexing / Anchor Text Analysis  Document Relatedness  Document Summarization  Impact Analysis  Trend Analysis  Semantic Analysis  User Modelling  19www.docear.org Doc – The Academic Literature Suite

20.  Anchor Text Analysis / Website Indexing  Document Relatedness / Distance Analysis  Semantic Analysis  User Modeling  20www.docear.org Doc – The Academic Literature Suite

21.  Dozens of mind-mapping tools  2 million active mind-mapping users  5 million new mind-maps every year  300,000+ public mind-maps  21www.docear.org Doc – The Academic Literature Suite

22.  22www.docear.org Doc – The Academic Literature Suite

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 feasible  Text-based ideas are feasible  23www.docear.org Doc – The Academic Literature Suite

24.  Up to 61% acceptance for user modeling and recommendations  Around 10% acceptance for other ideas  User modeling is the most feasible idea  24www.docear.org Doc – The Academic Literature Suite

25. 3. User Modeling Prototype A Research Paper Recommender System 25www.docear.org Doc – The Academic Literature Suite

26.  ? 26www.docear.org Doc – The Academic Literature Suite

27.   Recommend books that we assume to be relevant for researchers  Content Based Filtering   Terms of the last modified node (Recs on each modification)   : Terms of the last modified node (Recs every few days)   : All terms of the last modified mind-map   : All terms of all mind-maps  27www.docear.org Doc – The Academic Literature Suite

28.  28www.docear.org Doc – The Academic Literature Suite

29.  Strong differences depending on the approach  Overall, reasonable CTR, despite the trivial approaches  29www.docear.org Doc – The Academic Literature Suite

30.  Strong differences depending on the specific parameters (for the „All Mind- Maps“ approach)  30www.docear.org Doc – The Academic Literature Suite

31.   http://www.docear.org  http://www.docear.org/docear/our-publications/ 31www.docear.org Doc – The Academic Literature Suite