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Fast Selection of Web Services with QoS Using a Distributed Parallel Semantic Approach

Luis H.V. Nakamura, Pedro F. do Prado, Rafael Mira de O. Libardi, Luiz H. Nunes, Julio C. Estrella, Regina H.C. Santana, Marcos J. Santana, Stephan Reiff-Marganiec
2014 2014 IEEE International Conference on Web Services  
The results point to a significant improvement in the speed of searching Web services and thus makes the use of semantic resources viable in distributed systems to provide better quality of service to  ...  This paper presents a solution to performance issues in the quality of service aware selection of Web services using techniques of parallelism and mechanisms of inference provided by Semantic Web.  ...  Another way to improve the performance of these algorithms is proposed in [1] and it consists of parallelization of algorithmic reasoning.  ... 
doi:10.1109/icws.2014.100 dblp:conf/icws/NakamuraPLNESSR14 fatcat:iowq3j6y4zactlinzodczjye6y

Improved Framework For Diversifying Web Service Recommendation Results Using Users Reviews And Usage History

2017 Zenodo  
Additionally to improve the performance,designed new algorithm name as user relevance reviews.  ...  This method helps to improve the quality,accuracy of web service recommendation results.  ...  This method is showing the improved performance in quality of web service recommendation results.  ... 
doi:10.5281/zenodo.1456406 fatcat:e4lrfduj2bfclpfby65zrrlm7u

Improving Aggregated Search Coherence [chapter]

Jaime Arguello
2015 Lecture Notes in Computer Science  
Results from a large-scale user study suggest that algorithms that improve the level of coherence between the vertical and web results influence users to make more productive decisions with respect to  ...  Aggregated search is that task of blending results from different search services, or verticals, into the core web results.  ...  The gray cells indicate the best performing algorithm within each column. Next, we discuss the differences in performance between algorithms, verticals, and evaluation metrics. Algorithms.  ... 
doi:10.1007/978-3-319-16354-3_3 fatcat:2pkmx62vljdjvckvy3dkmhjfb4

A New Approach for Handling Null Values in Web Log Using KNN and Tabu Search KNN

Yogendra Kumar Jain, Vivek Suryawanshi
2011 International Journal of Data Mining & Knowledge Management Process  
Tabu search -KNN classifier perform feature selection of K-NN rules. We are handling null values efficiently by using different distance function. It is called Ensemble of function.  ...  It is evaluated using our MANIT database. Results have indicated that a significant increase in the performance when compared with simple K-NN classifier.  ...  Proposed Work In this paper, a Hybrid Tabu Search/K-NN algorithm is proposed to perform feature selection with the objective of improving the classification accuracy.  ... 
doi:10.5121/ijdkp.2011.1502 fatcat:7u2vwft6szbtzh42afw55d56wi

A Reliable Web Services Selection Method for Concurrent Requests

Guiming Lu, Yan Hai, Yaoyao Sun
2014 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
Furthermore, to enhance the efficiency of ISCO, the elite strategy is used in ISCO algorithm. We evaluate performance of the ISCO algorithm and the selection method through simulations.  ...  It proposes the improved social cognitive (ISCO) algorithm which uses genetic algorithm for observational learning and uses deviating degree to evaluate the solution.  ...  In order to avoid the Web service overloading, and improve the performance of the overall system.  ... 
doi:10.12928/telkomnika.v12i4.786 fatcat:frryiypfjngqtegcdep5ccbdjm

Query Directed Web Page Clustering

Daniel Crabtree, Peter Andreae, Xiaoying Gao
2006 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06)  
QDC provides a substantial performance improvement over other web page clustering algorithms.  ...  We evaluate QDC by comparing its clustering performance against that of four other algorithms on eight data sets (four use full text data and four use snippet data) by using eleven different external evaluation  ...  Acknowledgment Daniel Crabtree is supported by a Top Achiever Doctoral Scholarship from the Tertiary Education Commission of New Zealand.  ... 
doi:10.1109/wi.2006.142 dblp:conf/webi/CrabtreeAG06 fatcat:qxwagpjolff57gcrkipr7i5zpi

Identifying Important Features of Users to Improve Page Ranking Algorithms

Amir Hossein Eskandari, Ali Haroun Abadi
2018 International journal of Web & Semantic Technology  
increase in using this technology, improving performance of this algorithm is considered as one of the web mining necessities.  ...  In addition, application mining and structure mining techniques can be used simultaneously to improve page ranking performance.  ...  The proposed approach shows that using swarm based algorithm improves Page Rank performance.  ... 
doi:10.5121/ijwest.2018.9303 fatcat:pn3h7pfudne6dko3p7wlubmimq

Genetic search based on multiple mutations

V. Milutinovic, D. Cvetkovic, J. Mirkovic
2000 Computer  
Using the right technology to maximize performance and minimize complexity is a major challenge.  ...  Zero-order genetic search First, we consider a genetic search without mutation or best first search. The search begins from a set of input Web sites given by a user.  ...  Next, the software agent system downloads the Web sites that are linked to this site and evaluates the fitness value-how closely the downloaded Web sites' contents fit the user's needs.  ... 
doi:10.1109/2.881697 fatcat:mselkkhyx5a4xnnx3chjaegmku

Web Search Relevance Ranking [chapter]

Hugo Zaragoza, Marc Najork
2017 Encyclopedia of Database Systems  
Performance evaluation measures used for the development of relevance ranking algorithms take this into account [8] . There exist other, less explicit measures of performance.  ...  Key Applications The key application of web search relevance ranking is in the algorithmic search component of web search engines.  ... 
doi:10.1007/978-1-4899-7993-3_463-3 fatcat:j23ykqustfegphufdl446y2hje

Optimizing web search using web click-through data

Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Yong Yu, Wei-Ying Ma, WenSi Xi, WeiGuo Fan
2004 Proceedings of the Thirteenth ACM conference on Information and knowledge management - CIKM '04  
Experiment results on a large set of MSN click-through log data show a significant improvement on search performance over the naive query log mining algorithm as well as the baseline search engine.  ...  The performance of web search engines may often deteriorate due to the diversity and noisy information contained within web pages.  ...  Evaluation Criteria The Precision in IR is applied to measure the performance of our proposed algorithm.  ... 
doi:10.1145/1031171.1031192 dblp:conf/cikm/XueZCYMXF04 fatcat:c7usbwolxvg6rg37kgexspf6vu

User Search Goals Evaluation with Feedback Sessions

V. Febna, Anish Abraham
2016 Procedia Technology - Elsevier  
The performance improvement can be evaluated by using evaluation measures like Average Precision (AP), Voted Average Precision (VAP) and Classified Average Precision (CAP).  ...  This paper proposes a variant of feedback session method for inferring user search goals, where bag of words approach is employed for representation.  ...  Another method for user search goals evaluation introduced by Patnaik L M et al. (2013) improves response time and throughput of search engine with web caching.  ... 
doi:10.1016/j.protcy.2016.05.107 fatcat:kday5l4cdrdodftt3df5co5fse

Optimizing Web Search Using Spreading Activation on the Clickthrough Data [chapter]

Gui-Rong Xue, Shen Huang, Yong Yu, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma
2004 Lecture Notes in Computer Science  
In this paper, we propose a mining algorithm to utilize the user clickthrough data to improve search performance.  ...  Our approach could overcome the challenges discussed above and the experimental results on a large set of MSN click-through log data show a significant improvement on search performance over the DirectHit  ...  Evaluation Criteria The Precision in IR is applied to measure the performance of our proposed algorithm.  ... 
doi:10.1007/978-3-540-30480-7_42 fatcat:sx3ugu3fpzdyje3ybqcgl7ciba

Online content optimization with effective event monitoring approach
IJARCCE - Computer and Communication Engineering

Sajithra. N, Priyadarshini. D
2015 IJARCCE  
The main contribution in this paper is an approach of personalizing users' searches to achieve better search result which is based on event monitoring and personalized content optimized search.  ...  Content optimization has widely used in personalized search engines for better personalized results. It can be generated by the user actions and events on the web search engine.  ...  Dataset: The proposed systems user click through log format Result Evaluation To evaluate the performance of the proposed schemes, execution time and storage are the main measurement of performance  ... 
doi:10.17148/ijarcce.2015.4107 fatcat:6tvatifvp5fk7emt2vqolkofai

The improved Shark Search Approach for Crawling Large-scale Web Data

Youwei Yuan, Chen Dou, Yong Li, Dongjin Yu, Lamei Yan, Zhixiang Zhu
2014 International Journal of Multimedia and Ubiquitous Engineering  
In this study we focus on the classification of Web links instead of downloaded web pages to determine relevancy which can avoid local optimum of the traditional shark search algorithm.  ...  This paper puts forward the improved shark search approach for crawling large-scale Web data based on link clustering and the technology of tunnel.  ...  Acknowledgment The work was supported by NSFC (Grant No. 61272032) and also supported by the nature science foundation of Zhejiang province (No. Y6090312).  ... 
doi:10.14257/ijmue.2014.9.8.22 fatcat:iae3nesjc5bejiy6fkrd6atsgq

Improving Information Retrieval Based On Query Classification Algorithm

Myomyo Thannaing, Ayenandar Hlaing
2018 Zenodo  
Evaluation of classification accuracy and retrieving performance are explored.  ...  Web query classification is to classify a web search query into a set of user intended categories.  ...  Classifying web queries into predefined target categories, also known as web query classification, is important to improve search relevance and online advertising.  ... 
doi:10.5281/zenodo.1310887 fatcat:c42yrufejrcdpots4dh3acytci
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