Основные подходы при создании рекомендательных систем

  • Published on
    14-Apr-2017

  • View
    267

  • Download
    3

Embed Size (px)

Transcript

: ..: ..VI - , 2015

2015

: .

: (, , , , .) , , , .; (1-10, , ).

, , ; .

, 20% - 80% . ,

1. (user-based)2. (item-based)3. (knowledge-based)4. (hybrid)

1. (user-based) . - U1 U2 B1, U2 B2, B2 B1.

2. (item-based) ( ) (). .

3. (knowledge-based) . ( ) . , 1 2 - .

4. (hybrid) . . .

. . , .

1. Mining of Massive Datasets; J.Leskovec, A. Rajaraman, J. Ullman; Cambridge University Press. Cambridge : 2011.2. Introduction to Recommender Systems; F.Ricci, L.Rokach, B. Shapira; Springer, 2011.3. Recommender Systems Handbook; F.Ricci, L.Rokach, B. Shapira; Springer, 2011. Springer, 2013.4. Collaborative Filtering Recommender Systems; Michael D. Ekstrand, John T. Riedl, Joseph A. Konstan; HumanComputer Interaction, 2011.

zapletin.yevhenii@gmail.com

SlideShare http://www.slideshare.net/YevheniiZapletin/2-48405500

Recommended

View more >