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Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
Mendeley Suggest: What will you read next?
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Mendeley Suggest: What will you read next?

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I gave this presentation at the Mendeley Advisor Appreciation 1 day workshop in Mendeley's London office on 21 September, 2012. …

I gave this presentation at the Mendeley Advisor Appreciation 1 day workshop in Mendeley's London office on 21 September, 2012.

This presentation introduces the concept of recommender systems, providing a number of use cases in which they have been deployed, before focussing on Mendeley Suggest. In the workshop, the slides served as a focus point for an open floor discussion on Mendeley Suggest as a product.

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Transcript

  • 1. Mendeley Suggest:What will you read next? Kris Jack, PhD Chief Data Scientist
  • 2. Being the best researcher youcan be!➔ Good researchers are on top of their game➔ Large amount of research produced➔ Takes time to get at what you need
  • 3. Query drivenHow to query forinteresting researchfor you?
  • 4. Search Vs. Recommendation➔ search is a pull strategy vs.➔ recommendation is a push strategy
  • 5. Search Vs. Recommendationsearch is like following a path...
  • 6. Search Vs. Recommendation recommendation is like being on a roller coaster...A differentsense ofcontrol
  • 7. Whats a recommender?“A recommendationsystem (recommender) isa subclass of informationfiltering system that aimsto predict a users interestin items.”
  • 8. Recommendation Systems in the Wild (people)
  • 9. Recommendation Systems in the Wild (books)
  • 10. Recommendation Systems in the Wild (music)
  • 11. Recommendation Systems in the Wild (films)
  • 12. Recommendation Systems in the Wild (jokes)
  • 13. Recommendation Systems in the Wild (love)
  • 14. Input:User libraries Output: Suggested articles to read
  • 15. Recommendation Systems in the Wild (research)
  • 16. Mendeley Suggest: What will you read next?➔ Mendeleys suggestions are based on what you read➔ Help you deal with the problem of information overload➔ Help you to discover new research➔ Our system is improving as the community grows➔ What do you want from Mendeley Suggest?
  • 17. Over to you How many papers do you read a day? What do you want from Mendeley Suggest? Have you tried it yet? How well does it work Do you feel like youre for you? on top of your domain? How would you What would your perfect improve it? Mendeley Suggest experience be? Have you discover it yet?

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