• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 1
  • 1
  • Tagged with
  • 3
  • 3
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Serial Editions: Another Book of Books for the Chapman

Hill, A. Logan 01 January 2017 (has links) (PDF)
Serial Editions: Another Book of Books for the Chapman is a collection of chapbooks whose titles include First Cold Morning, River Music, Vow, Intimate Interactions of a Corollary ( w/ braille translations), My Soul From Yesterday & Another Abecedarian for the World. You may or might not get a postcard in the mail announcing its distribution, then, one chapbook at a time, as in serial comics, slowly collecting, only later to receive them all, collected in a single book object..
2

Aufklärung und Bibliophilie : der Hannoveraner Sammler Georg Friedrich Brandes und seine Bibliothek /

Crusius, Gabriele. January 2008 (has links)
Zugl.: Oldenburg, Universiẗat, Diss., 2007.
3

Neuronové sítě pro doporučování knih / Deep Book Recommendation

Gráca, Martin January 2018 (has links)
This thesis deals with the field of recommendation systems using deep neural networks and their use in book recommendation. There are the main traditional recommender systems analysed and their representations are summarized, as well as systems with more advanced techniques based on machine learning. The core of the thesis is to use convolutional neural networks for natural language processing and create a hybrid book recommendation system. Suggested system includes matrix factorization and make recommendation based on user ratings and book metadata, including texts descriptions. I designed two models, one with bag-of-words technique and one with convolutional neural network. Both of them defeat baseline methods. On the created data set, that was created from the Goodreads, model with CNN beats model with BOW.

Page generated in 0.0429 seconds