Finding Your Literature Match
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- Phillip Hunter
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1 a recommender system Edwin Henneken Smithsonian Astrophysical Observatory
2 The Literature Universe Total records: Astronomy: 1,725,719 Physics: 5,437,973
3 The Literature Universe
4 The Literature Universe Discovery Tools Ask An Expe!
5 Recommender Systems... are a technological proxy for a social process are a way of suggesting like or similar items and ideas to a users specific way of thinking try to automate aspects of a completely different information discovery model where people try to find other people with similar tastes and then ask them to suggest new things Goal(s): help users find information that was previously unknown to them for those commercially inclined: improve sales
6 Key Elements proximity concept: Item X is close to item Y Person P is close to item X ansatz : person with similar preferences in the past are likely to have similar preferences in the future Approach Build a space in which documents and persons can be placed Determine document clustering ( thematic map )
7 Key Ingredients assign labels to documents ( topic vector ) assign labels to persons ( interest vector ) How? Persons read documents Keywords
8 More theoretical Extra-galactic astronomy Galactic astronomy More experimental
9 Topological Defects in Cosmology Physical Cosmology Extra-galactic astronomy More theoretical Astrophysical Hydrodynamics Galactic and Extragalactic Infrared Spectroscopy Gravitational Physics of Stellar and Galactic Systems Galactic astronomy The structure of our Galaxy derived from observations of neutral hydrogen Magnetic Fields Near and Far: Galactic and Extragalactic Single-Dish Radio Observations of the Zeeman Effect More experimental
10 Topological Defects in Cosmology Physical Cosmology Extra-galactic astronomy More theoretical Astrophysical Hydrodynamics Galactic and Extragalactic Infrared Spectroscopy Gravitational Physics of Stellar and Galactic Systems Galactic astronomy The structure of our Galaxy derived from observations of neutral hydrogen Magnetic Fields Near and Far: Galactic and Extragalactic Single-Dish Radio Observations of the Zeeman Effect More experimental
11 Finding Recommendations Clusters D
12 Finding Recommendations usage data x documents closest to the new document recommendations from usage Clusters
13 Finding Recommendations Fact: document X belong in cluster C Definition: group G is the group of 40 documents closest to X (within C) 1. paper read the most before reading a paper from G 2. paper read the most after reading a paper from G Find all the persons who read a paper from G: 3. the most read paper by these persons in the last few months 4. the most recent paper in the top 100 of the most also-read list From citations: 5. paper which cites the most papers in group G
14 : Physics Literature data used to build topic space and clusters: journals: Physical Review (A,B,C,D,E,Letters), Physics Letters (A,B), Reviews of Modern Physics, Nuclear Physics (A,B), Journal of Chemical Physics, Applied Physics Letters time range: resulting data set: 144,110 papers available keywords: 6,349 usage data: period July - December 2009
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17 So, is this something new? Louis L. Thurstone (1934), The Psychological Review, 41, 1 Peter G. Ossorio (1966) Multivariate Behavioral Research, 1, 479 Michael J. Kurtz (1993), in: A. Heck and F. Murtagh (eds.), Intelligent Information Retrieval: The Case of Astronomy and Related Space Sciences, Astronomy and Space Science Library, 182, 21
18 Future Developments Stability analysis Code Optimization Testing, Testing and more Testing
19 The ADS is Operated by the Smithsonian Astrophysical Observatory under NASA Grant NNX09AB39G Thank you! Questions?
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