Papers by Keyword: Ranking

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Authors: Xiang Fu Meng, Xiao Yan Zhang, Xiao Xi Li
Abstract: Users often have imprecise ideas when searching the autonomous Web databases and thus may not know how to precisely formulate queries that lead to satisfactory answers. This paper proposes a novel flexible query answering approach that uses query relaxation mechanism to present relevant answers to the users. Based on the user initial query and the data distribution, we first speculate how much the user cares about each attribute and assign a corresponding weight to it. Then, the initial query is relaxed by adding the most similar attribute values into the query criteria range. The relaxation order of attributes specified by the query and the relaxed degree on each specified attribute are varied with the attribute weights. The first attribute to be relaxed is the least important attribute. For the relevant result tuples, they are finally ranked according to their satisfaction to the initial query. The efficiency of our approach is also demonstrated by experimental result.
Authors: Chatchai Inparaprapan, Kraisak Kesorn
Abstract: Since millions of documents are available on the Internet, some documents contain similar content but they are written in different languages by various authors. Unfortunately, the existing search engines do not support to all documents that are relevant to a single language query. Therefore, several researchers have put a huge effort to overcome such a problem. The major problems of a cross language search engine include 1) how to store information in a unify model and represent information of multiple languages documents effectively and 2) how to rank the retrieved multiple language documents and present to a user in the right order. This paper overcomes the first problem using an ontology model and we present a new ranking technique for a cross language information retrieval system (CLIR). Keyword weighting scheme in an ontology and document sections are introduced. Cosine similarity formula is modified to particularly support CLIR. The experimental results show the modified formula obtains more efficient ranking results than the existing method.
Authors: Xiao Wei Shi, Lin Ping Huang, Wei Jian Mi, Dao Fang Chang, Yan Zhang
Abstract: An intelligent musical recommendation system for multi-users in network context is presented. The system is based on a comprehensive user profile described by feature-weight-like_degree-scene vectors. According different scenes, the system can filter the music that user may like in the internet, and form a music recommendation list which will be sent to the user. The Preference Learning Agent updates the users’ profile dynamically based on explicit feedback or the hidden preference obtained from the users’ behavior. The learning rate of like_degree, original like_degree and the weight of feature type are important for the improvement of the feature’s learning efficiency. The recommendation system can capture the users’ potential interest and the evolvement of preferences. Experiment results show that the algorithm can learn users’ preferences effectively.
Authors: Mahmoud H. Alrefaei, Ali H. Diabat
Abstract: We consider the problem of stochastic optimization, where the objective function values are not available and need to be simulated to get their estimates. When the function values are available one can use the simulated annealing algorithm. In this paper, we modify an algorithm that uses the hill climbing feature of simulated annealing with fixed temperature to search the feasible solution set. The proposed algorithm uses indifference zone approach of ranking and selection method to compare the current optimal solution and the potential solution that guarantee the optimal solution with a pre specified level of confidence. The algorithm is tested on a (s, S) inventory problem and compared to other competing algorithm. The numerical results show that the proposed method outperforms the competing method and indeed locate the optimal solution quickly.
Authors: Yue Jin Lv, Wu Song Yang
Abstract: By defining the degree of dominance between two sets with respect to a certain criterion, a new alpha-dominance relation is proposed in this paper. And then a rough set approach based on this relation in disjunctive set-valued ordered information systems is presented. After that, a ranking method for all objects is introduced to the disjunctive set-valued ordered information systems, and a numerical example is illustrated to demonstrate the validity of this ranking method.
Authors: Wan Jun Chu
Abstract: Cross efficiency evaluation is an effective method for ranking decision marking units in data envelopment analysis (DEA) and can be performed with different secondary goals. This paper proposes new alternative models and algorithm for DEA cross efficiency evaluation to provide more methodological options for the decision marker to choose then. The model is illustrated with examples.
Authors: Luminita Grecu
Abstract: The aim of the paper is to present some aspects about Onicescu multi-criteria decision method and its application in decision problems regarding environmental quality. The mentioned method is applied to an air pollution problem, namely a problem in which we want to rank the counties from a certain region with respect to a complex air quality characteristic, a characteristic which incorporates all the most important air pollutants that exist in the considered region. Both variants of this method are applied in this paper and a comparison study between them is also made.
Authors: Corrado lo Storto, Gabriella Ferruzzi
Abstract: This paper implements Data Envelopment Analysis (DEA) to calculate an efficiency measure index of 21 energy power plants that use different technologies, including both renewable and conventional types. Super-efficiency measurements are used to generate a ranking of plants based on their efficiency score that can be used to select among alternatives. It is also showed how DEA can also be adopted to estimate the amount of financial subsidies necessary to make a renewable energy plant as efficient as a conventional energy plant, by calculating the extent to which inefficient power plants over-utilize specific inputs or under-produce outputs.
Authors: Guo Liang Yang, Xin Sheng Hu, Chuan Jing Lu
Abstract: Base on the quantitative risk evaluation, the dangerous device risk is described by potential life loss. Potential life loss assessment and risk ranking of 71 hazards device in 8 factories of a petrochemical enterprise, shows that refinery and olefin plant risk, diesel hydrodewaxing unit and diesel hydrogenation unit risk is relative to the front in their respective categories’ risk ranking. The research results can be used to direct the relevant government departments or enterprises to prioritize hazard supervision and management, optimize the allocation of resources and improve the efficiency of management.
Authors: G. Salvago, G. Bollini, P.L. Cavalotti
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