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Today there are a huge quantity of online reviews available across different categories of products. The key question is how to select helpful online reviews and what can we learn from the abundant reviews. In this paper, we first conclude five categories of features to predict reviews' helpfulness from the perspective of a product designer and then present an approach based on conjoint analysis to...
In this paper, we propose a content-based approach that takes into consideration an organization's needs and the skills of candidate employees in order to quantify the suitability of a candidate employee for a specific job position. The proposed algorithm utilizes Minkowski distance to perform a primary study in order to investigate how the personnel seeking and recruiting field could benefit further...
The paper presents new solutions in the area of application cryptographic protocols for strategic or personal information protection and management. Computer techniques for classified information protection and distribution will be described in the context of application for security purposes personal or biometric information. Such techniques may also support the management processes of confidential...
We consider the problem of optimally scheduling the charging of electric vehicles to obtain a favorable total load profile. A large collection of our main contribution is to account for the capacity constraints induced by the power grid distribution lines and other components such as transformers in scheduling. We propose three distributed algorithms to minimize the total load variance while satisfying...
Parcel delivery service by Collect-on-delivery (“COD”, a.k.a Cash-on-delivery) companies is a new distribution mode in China. It includes two types of trips: first level trips serving from one of the central distribution centers to a set of regional distribution centers, which are to be located, and second trips supplying end customers from these regional distribution centers. The design of the distribution...
Competitive facility location problems (CFLP) form a wide class of optimization problems. A new facility is to location and the market share captured by each facility depends on its distance to customers and its location costs. This paper proposes a new location problem of competitive facilities where the service capability of each facility is considered. The aggregation effects which could appear...
In a competitive environment, competing agents would maximize their ideas' influence for higher profits. For example, in an unsaturated market, when a new company participates in the market sharing competition, it would distribute free tryout or discount to several customers, let them adopt the product or service, and influence others to use this product as propagation goes. This situation can also...
With the development of Low Carbon Economy, Low Carbon Logistics has attracted more and more researches' attention. Logistics routing optimization is one of the important ways to reduce carbon emissions. Based on the analysis of practical problem, considered the cost, time and carbon emissions three properties of the route, a mathematical model of the point to point multi-objects routing optimization...
Studying price impact is important in finance and previous work examines the relationship between trade size and price impact on a number of equity markets. In this study, using recent order book data from the London Stock Exchange, we examine the price impact function for six highly-liquid stocks and novelly investigate whether the function displays time-of-day effects. The results show that price...
As more and more e-commerce companies are mushrooming on the Internet, the competition becomes very high for those sites to be appeared on the top of Search Engine Results Pages (SERPs). With the massive growth of Internet, the dependability of Search Engines for Information Retrieval (IR) becomes a mandatory. This paper provides an introduction to link structure base search engine ranking algorithms...
One of the oldest problem in data mining is the market basket problem, the search for meaningful associations in customer purchase data. Currently, the Sport Company has an issue on sport items arrangement in accordance with customer purchasing pattern. They noticed that, the sales of certain products become decrease when they made some arrangement to the shelves. The Sport Company do not have any...
Bus trip is a healthy way to travel, and optimal bus dispatching decides social and economic benefits. Based on the analysis for both the existing traffic environment and bus dispatching, a mathematical model of the regional multi-line bus dispatching within is proposed in this paper such that the goal function of this model are the average maximal satisfaction for passengers, the average loading...
Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) are two of the most widely used and important risk measures in financial risk management models. Because VaR and CVaR portfolio optimization models are often nonlinear and non-convex optimization models, traditional optimization methods usually can not get their global optimal solutions, instead, they often get a local optimal solution. In this...
A company providing services in a 24/7 basis faces the problem of determining what are the workers prerequisites per shift, and after that estimating the lower bounds of workforce size that could provide the continuous service. In this paper we solve the estimating problem according to characteristics of the contraction, vacation period and degree of absenteeism.
Sequence data are increasingly shared to enable mining applications, in various domains such as marketing, telecommunications, and healthcare. This, however, may expose sensitive sequential patterns, which lead to intrusive inferences about individuals or leak confidential information about organizations. This paper presents the first permutation-based approach to prevent this threat. Our approach...
With the rapid development of logistics industry, there are lots of logistics service and tons of data emerging on logistics platform. To match service and customers better, personalized recommendations logistics services is needed. In this paper, we introduce a collaborative filtering technology of e-commerce personalized recommendation system into the logistics platform. We present the application...
This paper outlines an improved Apriori algorithm that suits coal mine hidden danger data. Then preprocess the data according to the characteristics of safety hidden danger data of coal mine workplaces, including data import and extraction. Put this algorithm embedded in a coal mine hidden danger investigation system. After this is coal mine hidden danger data association rules mining based on the...
This paper aims at comparing Adaptive Resonance Theory ("ART" for short) and Self-organizing Feature Map ("SOFM" for short) of neural network on the study of Chinese listed company's financial risk identification. The empirical results show that the ART-2 neural network model has better recognition effect than Logistic statistical model, BP and PNN network algorithm, while the...
With development of Internet and technology, the traditional market has become an electronic market, and the value of trading has become more than a traditional market. The SME e-commerce has been grown rapidly, and more businesses have used the e-commerce for selling and buying goods or services. Consequently, most of the plastic e-marketplaces only allow the large companies to search the product...
In this paper, we propose a novel model for finding experts on a given topic using social influence analysis in enterprise social network. In enterprise social networks, employees usually talk about some topics relevant to their tasks. With the integration of social technology in BPM (Business Process Management), more expertise characteristics are reflected by their actions in social networks. Social...
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