METHODS AND APPARATUSES FOR TRUST COMPUTATION

摘要

Embodiments of a method are disclosed for computing trust index among multiple entities associated with a resource marketplace. The method includes receiving multiple inputs including interaction attributes, attribute importance factors, references to databases, and multiple entities associated with the resource marketplace. The method also includes creating a weighted-interaction graph based on the received inputs. The weighted-interaction graph includes multiple vertices representing the entities. The method further includes performing a topology-specific analysis of the weighted-interaction graph. The method furthermore includes computing Euclidean distances for each pair of vertices in the weighted-interaction graph based on the performed analysis. The method also includes determining a trust index for a first entity in the received multiple entities based on the computed Euclidean distances. The trust index includes ranking of at least one of the multiple entities with respect to the first entity. The ranking is inversely proportional to the computed Euclidean distances.

主权项

1. A method for computing trust index among a plurality of entities associated with a resource marketplace, the method comprising:
receiving a plurality of inputs including interaction attributes, attribute importance factors, references to databases, and a plurality of entities associated with the resource marketplace;
creating a weighted-interaction graph based on the received plurality of inputs, wherein the weighted-interaction graph includes a plurality of vertices representing the plurality of entities;performing a topology-specific analysis of the weighted-interaction graph;computing Euclidean distances for each pair of vertices among the plurality of vertices in the weighted-interaction graph based on the performed analysis; anddetermining a trust index for a first entity in the received plurality of entities based on the computed Euclidean distances, the trust index includes ranking of at least one of the plurality of entities with respect to the first entity, wherein the ranking is inversely proportional to the computed Euclidean distances.