By reviewing the literature on word-of-mouth communications and opinion leadership, a theoretical model for epinions is proposed via comparing the epinions with the traditional WOM and opinion leadership model in five facets: (1) The changing environment of interpersonal communication fostered by the Internet and increasing epinion sites; (2) Comparison of the interactive process of epinions an...

One of the most common styles of business today is electronic business, since it is considered as a principal mean for financial transactions among advanced countries. In view of the fact that due to the evolution of human knowledge and the increase of expectations following that, traditional marketing in electronic business cannot meet current generation’s needs, in order to survive, organizat...

Recommender Systems require specific datasets to evaluate their approach. They do not require the same information: descriptions of users or items or users interactions may be necessary, which is not gathered in today datasets. In this paper, we provide a dataset containing reviews from users on items, trust values between users, items category, categories hierarchy and users expertise on categ...

With the widespread use of social networks, recommendation algorithms that add relationships between users to recommender systems have been widely applied. Existing only introduced one type relationship system, but in reality, there are often multiple among users. In this paper, a new matrix factorization algorithm combined with is proposed. Through experiment results analysis on Epinions datas...

Online social networks (OSNs) are becoming increasingly popular in recent years, which have generated great interest in studying the influence diffusion and influence maximization with applications to online viral marketing. Existing studies focus on social networks with only friendship relations, whereas the foe or enemy relations that commonly exist in many OSNs, e.g., Epinions and Slashdot, ...

The dynamical origin of complex networks, i.e., the underlying principles governing network evolution, is a crucial issue in network study. In this paper, by carrying out analysis to the temporal data of Flickr and Epinions-two typical social media networks, we found that the dynamical pattern in neighborhood, especially the formation of triadic links, plays a dominant role in the evolution of ...

In online consumer reviews on Web sites such as Epinions, laypeople write and post their evaluations of technical products. But how do they get readers to take their opinions seriously? One way that online reviewers establish credibility is to assert expertise. This article describes 10 types of assertions that online reviewers used (along with the three broader categories of these types), expl...

java is an object-oriented program that has abundant open-source libraries for application development and 3d model rendering. spatial database is the database that can efficiently store and manage geographic information data though various spatial data management techniques. this paper explores the rationale of coupling java with spatial database to develop an effective platform for future bui...

This paper discusses the 3A recommender system that targets CSCL (computersupported collaborative learning) and CSCW (computer-supported collaborative work) environments. The proposed system models user interactions in a heterogeneous graph. Then, it applies a personalized, contextual, and multi-relational ranking algorithm to simultaneously rank actors, activity spaces, and assets. The results...

We empirical study the signs’ property in the directed signed social networks of Slashdot and Epinions by using an reshuffled approach. Through calculating the entropy Sout and the giant component G, we find an interesting 90/10 phenomenon: each individual labels his/her neighbors as friends with 90% or foes with 10% uniformly random from the macroscopic perspective. We also find that the entro...