Recommender systems Study guides, Class notes & Summaries
Looking for the best study guides, study notes and summaries about Recommender systems? On this page you'll find 27 study documents about Recommender systems.
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Summary 0HM270 SuperCrunchers
- Summary • 78 pages • 2020
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Summary for the course 0HM270 SuperCrunchers (2019-2020), formally part of the Human-Technology Interaction master program at the University of Technology Eindhoven. The summary covers all the lecture material, including all material covered in the slides (including figures) as well as all of the required readings (i.e. all separate articles provided per topic).
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Samenvatting H1 en H7 Aggarwal voor Collectieve Intelligentie
- Summary • 8 pages • 2022
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De twee hoofdstukken die je nodig hebt om het tentamen van CI te leren.
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Lectures - Marketing Analytics for Big Data
- Class notes • 39 pages • 2022
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Duidelijke uitwerking van alle hoorcolleges van het vak Marketing Analytics for Big Data. Inclusief uitgelegde voorbeelden.
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Summary Advances in Data Mining
- Summary • 38 pages • 2019
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Summary of the theory for Advances in Data Mining for the Computer Science master at Leiden University. Covers tokenization, Recommender Systems (Naive methods, Collaborative filtering, Matrix Factorization), RBM, Similarity Search (shingling, minhashing, LSH) and Pagerank (Markov process, RageRank algorithm)

It is missing the part about Support Vector machines, the last bit of minhasing and the part of the DGIM algorithm for data streams and. Parts missing are labeled with a colored marking.
As you read this, a fellow student has made another $4.70
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Summary all papers and classes Theories of Entrepreneurship and Management in the Creative Industries (EMCI)
- Summary • 29 pages • 2018
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I passed this course with a 7,5.

Concise summary including all papers, case studies, lectures and sample exam questions:

- Frey & Steiner (2012): Pay as you go
- Caves (2003): Contracts between art and commerce
- Hirsch: Fads and fashions, the cultural industries (revisited)
- Wijnberg & Gemser (2000): Adding value to innovation: impressionism and the transformation of the selection system in visual arts.
- Peltoniemi (2014): Cultural industries: product-market characteristics, management chal...
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Notes for Artificial Intelligence in the Marketplace
- Summary • 29 pages • 2016
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A summary of 12 sessions in the course Artificial Intelligence in the Marketplace. Detailed notes about each topic covered: Siri and chatbors (intelligens conversation), Watson, cognitive computing, culturomics and n-grams, Google Translate (automatic translation), recommender systems, social media and text analysis, sentiment analysis, Selv-driving cars, Deep learning, neural networks, the future of AI
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