106,19 €
Trust Networks for Recommender Systems
Trust Networks for Recommender Systems
106,19 €
  • Išsiųsime per 14–16 d.d.
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 th…
106.19
  • Autorius: Patricia Victor
  • Leidėjas:
  • Metai: 2011
  • Puslapiai: 202
  • ISBN-10: 9491216074
  • ISBN-13: 9789491216077
  • Formatas: 15.5 x 23.4 x 1.8 cm, kieti viršeliai
  • Kalba: Anglų

Trust Networks for Recommender Systems + nemokamas atvežimas! | knygos.lt

Atsiliepimai

(4.00 Goodreads įvertinimas)
Įvertink ir tu! Visi atsiliepimai

Aprašymas

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.
106,19 €
Išsiųsime per 14–16 d.d.
Prisijunkite ir už šią prekę
gausite 1,06 Knygų Eurų!?

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.

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%