Methods and systems for recommending services based on an electronic social media trust model

A system for recommending services, said system comprising:

• a processor;
• a data bus coupled to said processor;
• and
• a computer-usable medium embodying computer code, said computer-usable medium being coupled to said data bus, said computer program code comprising instructions executable by said processor and configured for:
• configuring a user trust network and a service trust network in order to thereafter combine said user trust network and said service trust network to form a combined trust network that includes an explicit trust and an implicit trust;
• conducting a trust-oriented random walk model on a user node with respect to said combined trust network based on a user search intent and navigation behavior in order to select and recommend a service candidate;
• and
• predicting a service rating by considering a user rating of a target service, a propagated trust and an inferred service rating in order to enhance said service rating prediction accuracy and provide an accurate service recommendation.

A processor-readable medium storing code representing instructions to cause a process to perform a process to recommend services, said code comprising code to:

• configure a user trust network and a service trust network in order to thereafter combine said user trust network and said service trust network to form a combined trust network that includes an explicit trust and an implicit trust;
• conduct a trust-oriented random walk model on a user node with respect to said combined trust network based on a user search intent and navigation behavior in order to select and recommend a service candidate;
• and
• predict a service rating by considering a user rating of a target service, a propagated trust, and an inferred service rating in order to enhance said service rating prediction accuracy and provide an accurate service recommendation.