#研究分享#【社交网络与智能家居】

#研究分享#【社交网络与智能家居】 西班牙巴斯克大学的研究人员David Núñez及其团队表示,通过对社交网络与智能家居设备的用户交互分析得出社交网络与智能化的三个研究方向:信任、推荐机制和影响最大化:如何预测用户对智能设备的信任;如何将需求转化为描述问题,满足需求转化为解决问题,解决不了时智能设备如何调整;在社交网络中如何以最少人数来影响最多人。http://www.looooker.com/archives/35730
Social networks enable smart household appliances to make better recommendations
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Source:
University of the Basque Country
Summary:
A computer engineer, has improved the tools for predicting the trust that a user will place in another in his/her social environment and has come up with a new algorithm that selects in less time the minimum set of users of a social network capable of influencing the maximum possible number of users of the network.

The thesis entitled Computational intelligent methods for trusting in social networks, produced by the computer engineer David Núñez in the Computational Intelligence Group at the UPV/EHU's Faculty of Computing, falls within the framework of the European research project Social and Smart (SandS). A part of the project is focussing its attention on user interaction with smart domestic appliances linked to a smart module.
These are household appliances (systems) to which the user describes in ordinary language the problem that he/she wants to solve (such as "making bread," "removing a stain from a pair of trousers," etc. depending on the type of household appliance); the system analyses the problem that needs to be solved and searches the database to see whether there is a solution (recipe) for the problem described by the user. If one exists, it is provided, and if not, the system will forward the description of the problem to an intelligent module so that a new solution can be produced and then passed on to the user. The user can execute the proposed solution or else readjust its parameters. Once the execution of the problem has been completed, the user will express his/her satisfaction with the result obtained. The users can communicate with each other over the system's social network and propose recipes that can be evaluated by other users.
The thesis by Núñez has provided new intelligent techniques in the area of social networks. Specifically, he has covered three lines of research in this area: trust, the recommendation systems and the maximising of influence.
Three lines of research
The first line of research seeks to predict the trust that a user will place in another belonging to his/her social environment on the basis of the opinions that other contacts have expressed about the target user. In this line the researcher has managed to develop some tools for predicting trust that are more straightforward than the ones found in the literature and more algebra-based.
The second line of research focusses on the systems of recommendation, and two experiments have been carried out. The first is linked to the generating of recipes for making bread in a smart bread maker. An attempt has been made to simulate the prediction of the bread recipe (solution of the problem) on the basis of the satisfaction expressed (description of the problem), and even, in the opposite direction, to predict satisfaction (solution of the problem) on the basis of a recipe provided (description of the problem). The second task in this second line of research has endeavoured to make recommendations about products. The recommendation is based on the previous evaluations of the users. What is being proposed are techniques based on the Web of Trust of the target user to whom one wishes to make a recommendation and also on similarities between users and the means of evaluation they have.
The third line of research is related to maximising influence. The aim of this line has been to detect what would be the minimum set of users of a social network that is capable of influencing the maximum possible number of users of the network. In this respect, "we have come up with a new algorithm that improves the algorithm that exists in the literature in terms of time: the classical Greedy method," explained David Núñez. "Our method has succeeded in getting closer to the optimum like the Greedy one, but does so more rapidly."

Story Source:
Materials provided by University of the Basque Country. Note: Content may be edited for style and length.

Journal Reference:
  1. J. David Nuñez-Gonzalez, Borja Ayerdi, Manuel Graña, Michał Wozniak. A new heuristic for influence maximization in social networks. Logic Journal of IGPL, 2016; jzw048 DOI: 10.1093/jigpal/jzw048
标题:Social networks enable smart household appliances to make better recommendations
来源:sciencedaily
链接:https://www.sciencedaily.com/releases/2016/09/160908120201.htm

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