To accurately and actively provide users with their potentially interested information or services is the main task of a recommender system. Collaborative filtering is one of the most widely adopted recommender method...
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To accurately and actively provide users with their potentially interested information or services is the main task of a recommender system. Collaborative filtering is one of the most widely adopted recommender methods, whereas it is suffering the issue of sparse rating data that will severely degenerate the quality of recommendations. To address this issue, the article proposes a novel method, named the FTRA (Fusing Trust and Ratings), trying to improve the performance of collaborative filtering recommendation by means of elaborately integrating twofold sparse information, i.e., the conventional rating data given by users and the social trust network among the same users. The performance of FTRA is rigorously validated by comparing it with six representative methods on a real-world dataset. The experimental results show that the FTRA outperforms all other competitors in terms of both precision and recall. More importantly, our work suggests that the strategy of augmenting sparse rating data by fusing trust networks does significantly improve the quality of conventional collaborative filtering recommendation, and its quality could be further improved by means of designing more effective integrating schemes.
Convex evidence theory model is the only method to fuse ordered proposition, in this paper we proposed a novel convex evidence theory model based on Gaussian function, we modified Gaussian function and used it to comb...
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Convex evidence theory model is the only method to fuse ordered proposition, in this paper we proposed a novel convex evidence theory model based on Gaussian function, we modified Gaussian function and used it to combine mass function of ordered propositions, we presented the calculation of the parameters of this function, and proposed a more accurate method to find the most likely true proposition. Theoretical analysis and experimental results demonstrate that the proposed method has lower time complexity and higher accuracy in some cases than existing methods.
Personal recommendation based on bipartite network has gained sustained attention in recent years due to its performance outperforms the traditional collaborative filtering approach, and it is rapidly becoming an impo...
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In this paper, we introduce a hybrid optimization algorithm with the Branch-and-Bound Method and the Ant Colony Optimization to solve the multi-chromosomal reversal median problem. We convert the large-scale genome in...
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ISBN:
(纸本)9783037853245
In this paper, we introduce a hybrid optimization algorithm with the Branch-and-Bound Method and the Ant Colony Optimization to solve the multi-chromosomal reversal median problem. We convert the large-scale genome into TSP maps at first. Then we use a hybrid optimization algorithm with the Branch-and-Bound Method and the Ant Colony Optimization to solve the problem. In our improved algorithm, we increase the search speed by implement multi-branch parallel search of ACO. Our extensive experiments on simulated datasets show that this median solver is efficient.
OWL Ontologies may change continually to meet user's dynamic request and it may damage the integrity of the ontology. Thus, it is in urgent to propose an effective strategy to maintain the integrity of the continu...
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In this paper, we outline the problem of multi-join ordering query optimization in the semantic web scenario, also known as SPARQL BGP (Basic Graph Pattern) reordering optimization. Unlike most previous researches, we...
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In this paper, we outline the problem of multi-join ordering query optimization in the semantic web scenario, also known as SPARQL BGP (Basic Graph Pattern) reordering optimization. Unlike most previous researches, we concentrate on more general SPARQL query forms and devote ourselves to the problem of searching for the optimal query plan within a more complete search space-bushy plan space. We model the BGP reordering optimization as a genetic evolution problem and implement a genetic algorithm on the open-source Jena ARQ System. With carefully design of the chromosome encoding scheme and the cost model, the final experimental results show that our method outperforms the common heuristics method and is comparable with some other state-of-the-art optimization methods w.r.t. the output quality.
Cloud Computing Service (CCS) paradigm is changing IT strategy of organizations in the digital world. CCS that requires few upfront investments and uses lease-based pricing is especially relevant to the Small and Medi...
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ISBN:
(纸本)9781627486040
Cloud Computing Service (CCS) paradigm is changing IT strategy of organizations in the digital world. CCS that requires few upfront investments and uses lease-based pricing is especially relevant to the Small and Medium Enterprises (SMEs), which have limited resources and may not know their true valuation for the IT prior to adoption. Thus, this research aims to investigate the influential factors of SMEs' strategic choice of CCS as online service. Relying upon Technology-Organization-Environment (TOE) paradigm, we identify both generic and context-specific factors from the three aspects and explain how the identified factors affect SMEs' CCS strategic choices. We hope this research can make contributions to innovation diffusion theory and IT strategy literature. We also hope the research with progress going on can generate insights for the CCS vendors who care about the sector of SME as well as the government administrators to make appropriate policies or supports for SMEs.
Except common security and privacy requirements, well scalability and supporting tag ownership transfer are important requests for RFID systems. In this paper, an efficient RFID mutual authentication protocol supporti...
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Except common security and privacy requirements, well scalability and supporting tag ownership transfer are important requests for RFID systems. In this paper, an efficient RFID mutual authentication protocol supporting tag ownership transfer is proposed, this protocol only requires O(1) work to identify and authenticate a tag in the backend server and is suitable for the low-cost RFID systems. The security and performance of the proposed protocol are analyzed as well.
The purpose of this paper is to study the topological relations of four simple regions. We extend 4-intersection matrix model to 16-intersections matrix model to represent the spatial relations of four simple regions,...
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The purpose of this paper is to study the topological relations of four simple regions. We extend 4-intersection matrix model to 16-intersections matrix model to represent the spatial relations of four simple regions, and prove that these topological relations are exclusive and complete. Moreover, we obtained 32406 topological relations in practice by programs, and we illustrate that the 16-intersections matrix model has stronger expressive ability than the topological relations given by RCC-5 in pairs.
This paper presents an efficient technique for processing of 3D meshed surfaces via spherical wavelets. More specifically, an input 3D mesh is firstly transformed into a spherical vector signal by a fast low distortio...
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This paper presents an efficient technique for processing of 3D meshed surfaces via spherical wavelets. More specifically, an input 3D mesh is firstly transformed into a spherical vector signal by a fast low distortion spherical parameterization approach based on symmetry analysis of 3D meshes. This signal is then sampled on the sphere with the help of an adaptive sampling scheme. Finally, the sampled signal is transformed into the wavelet domain according to spherical wavelet transform where many 3D mesh processing operations can be implemented such as smoothing, enhancement, compression, and so on. Our main contribution lies in incorporating a fast low distortion spherical parameterization approach and an adaptive sampling scheme into the frame for pro- cessing 3D meshed surfaces by spherical wavelets, which can handle surfaces with complex shapes. A number of experimental ex- amples demonstrate that our algorithm is robust and efficient.
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