Utilizing Mind-Maps for Information Retrieval and User Modelling Joeran Beel, Stefan Langer, Marcel Genzmehr, Bela Gipp www.docear.org Docear – The Academic Literature Suite 1 Agenda 1. Introduction to mind-maps 2. Ideas for utilizing mind-maps beyond their original purpose 3. Prototype for mind-map-based user modeling www.docear.org Docear – The Academic Literature Suite 2 Docear Team www.docear.org Docear – The Academic Literature Suite 3 Docear (www.docear.org) www.docear.org Docear – The Academic Literature Suite 4 1. Introduction to Mind-Maps www.docear.org Docear – The Academic Literature Suite 5 Example Mind-Map: Paper Draft www.docear.org Docear – The Academic Literature Suite 6 Example Mind-Map: Paper Draft www.docear.org Docear – The Academic Literature Suite 7 Example Mind-Map: Paper Draft www.docear.org Docear – The Academic Literature Suite 8 Example Mind-Map: Paper Draft www.docear.org Docear – The Academic Literature Suite 9 Example Mind-Map: Paper Draft www.docear.org Docear – The Academic Literature Suite 10 Example Mind-Map: Paper Draft www.docear.org Docear – The Academic Literature Suite 11 Example Mind-Map: Paper Draft www.docear.org Docear – The Academic Literature Suite 12 Example Mind-Map: Paper Draft www.docear.org Docear – The Academic Literature Suite 13 Example Mind-Map: Paper Draft www.docear.org Docear – The Academic Literature Suite 14 Example: Conference & Journal Overview www.docear.org Docear – The Academic Literature Suite 15 Example: Career Planning www.docear.org Docear – The Academic Literature Suite 16 Research Question How to utilize mind-maps beyond their original purpose? Original Purpose Utilized for Emails Communication User modeling & personalized advertisement Social Tags Personal document organisation Website indexing Research Articles Publishing research results Impact analysis Mind-Maps Information management ??? www.docear.org Docear – The Academic Literature Suite 17 2. Ideas for Mind-Map based IR Applications And An Analysis of the Feasibility www.docear.org Docear – The Academic Literature Suite 18 Ideas, Overview Search Engines for Mind-Maps Document Indexing / Anchor Text Analysis Document Relatedness Document Summarization Impact Analysis Trend Analysis Semantic Analysis User Modelling www.docear.org Docear – The Academic Literature Suite 19 Illustration of some ideas Anchor Text Analysis / Website Indexing Document Relatedness / Distance Analysis Semantic Analysis User Modeling www.docear.org Docear – The Academic Literature Suite 20 60% 50% 40% 30% 20% 10% 0% 2010 Public Mind-Maps 67,167 MindMeister 23% 2011 2012 2013 2014 350 300 250 200 150 100 50 - Thousands Number of (Public) Mind-Maps & Users 88,624 119,778 195,087 303,084 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% Dozens of mind-mapping tools 2 million active mind-mapping users 5 million new mind-maps every year 300,000+ public mind-maps www.docear.org Docear – The Academic Literature Suite 21 Example of a Mind-Map Gallery www.docear.org Docear – The Academic Literature Suite 22 Content Analysis 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 www.docear.org Docear – The Academic Literature Suite 23 Users’ Acceptance Up to 61% acceptance for user modeling and recommendations Around 10% acceptance for other ideas User modeling is the most feasible idea www.docear.org Docear – The Academic Literature Suite 24 3. User Modeling Prototype A Research Paper Recommender System www.docear.org Docear – The Academic Literature Suite 25 How to do the user modeling? www.docear.org Docear – The Academic Literature Suite 26 User Modeling Approaches Stereotype Approach Recommend 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 www.docear.org Docear – The Academic Literature Suite 27 Recommender System www.docear.org Docear – The Academic Literature Suite 28 Results I differences depending on the approach Overall, reasonable CTR, despite the trivial approaches CTR Strong 10% 5% 0% 6.12% 0.28% 4.99% All MindMaps Stereotype 1.17% Single Node Single Node Current (I) (II) Mind-Map www.docear.org 6.24% Docear – The Academic Literature Suite 29 CTR Results II 3.16% 4.00% [1;9] [10; 49] 5.94% 6.51% 7.47% 6.28% [50; 99] [100; 499] [500; 999] 1000+ Node Count Strong differences depending on the specific parameters (for the „All MindMaps“ approach) www.docear.org Docear – The Academic Literature Suite 30 Questions? 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