Open AccessService Discovery Based on User Latent Intentions
Author(s) -
Wang Haiyan,
Zhou Aidong
Publication year - 2016
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2016.08.026
Subject(s) - computer science , service (business) , business , marketing
This paper introduces a concept of User latent intentions (ULI) consisting of user preference intentions and user herd intentions for the expression of a user's personalized requirements of services. Theory of TCP‐net and herd psychology is employed for the establishment of user preference decision model and user herd decision model, followed with a user‐centric service discovery algorithm based on ULI. Simulation and experimental results demonstrate that the proposed ULI‐based service discovery approach can increase the effectiveness of service discovery.