View/Obtain from: UTS OPUS or Publisher's web page The online market place creates great options for organizations to offer personalized on the net services to their clients. Recommender systems are designed to routinely make personalized suggestions of products/services to buyers. Due to the fact several uncertainties exist inside each product or service and purchaser data, it is a obstacle to attain significant recommendation accuracy. This examine develops a hybrid advice approach which combines user-based mostly and product-based collaborative filtering methods with fuzzy established approaches and applies it to mobile product and service suggestion.
Perspective/Obtain from: UTS OPUS or Publisher's web-site AbstractCompetitive strategic bidding optimization has become a key challenge in electrical power generator markets. Digital ecosystems present a strong technological foundation and support for that implementation in the optimization. This paper provides a fresh strategic bidding optimization procedure which applies bilevel programming and swarm intelligence. In this paper, we 1st suggest a basic multileader-one-follower nonlinear bilevel (MLNB) optimization notion and associated definitions based on the generalized Nash equilibrium.
Perspective/Obtain from: UTS OPUS or Publisher's web site The efficiency and performance of case-based reasoning (CBR) systems depend largely around the good results of situation-dependent retrieval. The case-foundation maintenance (CBM) challenges come to be essential and crucial especially for modern-day societies. This paper proposes a different competence model along with a new maintenance method for that proposed competence model.
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Perspective/Obtain from: Publisher's web page © 2016Production-distribution (PD) preparing complications in many cases are addressed within an organizational hierarchy in which a distribution enterprise that utilizes various depots will be the leader plus the producing providers are the followers. The classical objective purpose from the chief is to minimize the full working expense of the distribution company, as well as the followers improve their respective manufacturing Price. Having said that, the distribution organization (the leader) usually are unable to receive entire creation facts with the manufacturing corporations, and could Hence develop into threat-averse. In such cases, an improved description of your chief's goal purpose will be the minimization of the utmost feasible running cost (Min-Max).
Perspective/Obtain from: UTS OPUS or Publisher's internet site With this new computing age of superior complexity, a typical weakness while in the interoperability concerning enterprise and IT leaves IT considerably driving the course business is using; lousy small business responsiveness and IT governance makes it even tougher to obtain the enterprise intention. To cope with this typical concern, we introduce the company interoperability to combine the metadata involving enterprise, company and information layers, this generate visibility of vertical alignment in just enterprise architecture and use metadata configuration to assemble the mapping concerning Every layer.
See/Download from: UTS OPUS or Publisher's internet site Incorporating the side information of textual content corpus, i.e., authors, time stamps, and emotional tags, into the traditionaltext mining versions has acquired sizeable passions url in the area of data retrieval, statistical organic language processing, andmachine Understanding. Just one branch of these operates would be the so-referred to as Creator Matter Product (ATM), which contains the authors'sinterests as side details into your classical subject matter design. Having said that, the existing ATM needs to predefine the amount of topics, which is difficult and inappropriate in lots of genuine-planet options. In this paper, we propose an Infinite Author Matter (IAT) modelto take care of this situation. As an alternative to assigning a discrete likelihood on set quantity of topics, we use a stochastic course of action to determinethe number of subject areas from the information itself.
Check out/Download from: UTS OPUS In today's process programs, operators should consider an awesome quantity of data that is handed to them by means of automatic devices, and make conclusions very quickly. Since the decision-building inside a time-important circumstance is extremely challenging, the usage of automated units to assist decision generating is highly advisable. This paper proposes a hybrid Bayesian network (HBN) to support approach operators in hazardous predicaments. The proposed HBN involves three parts: an proof preparation, a situational network, and risk estimation. The proof preparation element delivers gentle evidence determined by the web conditions and course of action monitoring program. The situational community is created determined by dynamic Bayesian networks to design the hazardous cases, and the risk estimation section calculates the danger stage of every condition dynamically to point out if the risk amount of predicaments is acceptable or not.
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Perspective/Obtain from: UTS OPUS or Publisher's internet site Optimizing the scheduling of responsibilities within a web dispersed heterogeneous computing atmosphere can be a nonlinear multi-objective NP-challenging challenge which happens to be enjoying an important role in optimizing cloud utilization and Top quality of Support (QoS). In this particular paper, we build an extensive multi-goal product for optimizing job scheduling to attenuate url activity execution time, process transferring time, and undertaking execution cost. Nonetheless, the target capabilities Within this model are in conflict with one another. Thinking about this reality along with the supremacy of Particle Swarm Optimization (PSO) algorithm in velocity and accuracy, we style a multi-goal algorithm according to multi-objective PSO (MOPSO) technique to supply an optimum Answer for your proposed product.
Check out/Download from: UTS OPUS or Publisher's web page The development of ontology data on Web pages and suitable administration of them would help the growth of the semantic World-wide-web. This paper proposes a semantic wiki approach to deal with this situation. Desirable features that a semantic wiki tactic need to put into action to provide an improved Answer to this issue are talked over. As well as that, some important troubles like usability, information trustworthiness and information high-quality are determined and analyzed.
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Check out/Download from: UTS OPUS or Publisher's site One of many new directions in recent e-federal government advancement is to provide personalized online services to citizens and companies. Recommendation techniques can deliver a possible Answer for this concern. This research proposes a hybrid advice approach to offer personalized authorities to enterprise (G2B) e-services. The technique integrates fuzzy setsbased semantic similarity and classic item-centered collaborative filtering methods to improve recommendation precision.
See/Down load from: UTS OPUS or Publisher's web page Lately recommender units are launched into your World wide web-dependent authorities purposes which count on to deliver customized Federal government-to-Business enterprise (G2B) e-Services. For additional personalization, we illustrate a subjective signed trust romance in between consumers, and based on these kinds of trust we proposed a suggestion framework for G2B e-services. A circumstance study is done for example of applying our method in e-govt apps.