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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Trust Networks for Recommender Systems

Trust Networks for Recommender Systems

Victor, Patricia
Cornelis, Chris
de Cock, Martine

Paperback

Series: Atlantis Computational Intelligence Systems, Book 4

General Computers

ISBN10: 9491216392
ISBN13: 9789491216398
Publisher: Springer Nature
Published: Jul 15 2013
Pages: 202
Weight: 0.72
Height: 0.51 Width: 6.16 Depth: 9.14
Language: English
This book describes research performed in the context of trust/distrust propagation and aggregation, and their use in recommender systems. This is a hot research topic with important implications for various application areas. The main innovative contributions of the work are: -new bilattice-based model for trust and distrust, allowing for ignorance and inconsistency -proposals for various propagation and aggregation operators, including the analysis of mathematical properties -Evaluation of these operators on real data, including a discussion on the data sets and their characteristics. -A novel approach for identifying controversial items in a recommender system -An analysis on the utility of including distrust in recommender systems -Various approaches for trust based recommendations (a.o. base on collaborative filtering), an in depth experimental analysis, and proposal for a hybrid approach -Analysis of various user types in recommender systems to optimize bootstrapping of cold start users.

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