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Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works
2017
International Journal of Computer Applications
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convenient ways to find relevant information within a short time. ...
The review concludes by discussion of the impact of deep learning in recommendation system in various domain and whether deep learning has shown any significant improvement over the conventional systems ...
The model is compared with 5 based lines namely, Matrix factorization, Probabilistic matrix factorization, LDA, Collaborative topic regression, Hidden Factor as Topic and collaborative deep learning using ...
doi:10.5120/ijca2017916055
fatcat:m6icpquumbgczhrdnya7x35of4
Guest Editorial: Recommendation Techniques for Services Computing and Cloud Computing
2015
IEEE Transactions on Services Computing
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As the number of Web services surges rapidly, recommending the right service for various users on demand has become one of the most challenging research issues in the fields of services computing and cloud ...
This special issue focuses on the recommendation techniques for services computing and cloud computing including classic recommendation algorithms for services computing and cloud computing, emerging recommendation ...
ACKNOWLEDGMENTS This special issue would not be possible without the help provided by many. ...
doi:10.1109/tsc.2015.2428791
fatcat:2epwo4ir7fbebitbrm4ogmr2om
AspeRa: Aspect-based Rating Prediction Model
[article]
2019
arXiv
pre-print
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We propose a novel end-to-end Aspect-based Rating Prediction model (AspeRa) that estimates user rating based on review texts for the items and at the same time discovers coherent aspects of reviews that ...
can be used to explain predictions or profile users. ...
Collaborative topic regression (CTR) [39] was one of the first models to combine collaborative-based and topic-based approaches to recommendation; to recommend research articles; it uses an LDA topic ...
arXiv:1901.07829v1
fatcat:tjydwynebbbcxjkidogbmjpyqq
A Systematic Review on Regression Testing for Web-Based Applications
2015
Journal of Software
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Web-based applications and their underlying parts are growing rapidly to offer services over the internet around the world. ...
Regression Testing in Web-Based Applications The general topic regression testing was first presented in paper conference in June 1972 at the inaugural software testing conference in North Carolina [22 ...
Acknowledgment The author would like to thank Dr. Izzat Alsmadi for his assistance in collecting research papers and valuable comments. ...
doi:10.17706//jsw.10.8.971-990
fatcat:kqavmlgganb6bciffemjbbtvve
A Systematic Review on Regression Testing for Web-Based Applications
2015
Journal of Software
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Web-based applications and their underlying parts are growing rapidly to offer services over the internet around the world. ...
Regression Testing in Web-Based Applications The general topic regression testing was first presented in paper conference in June 1972 at the inaugural software testing conference in North Carolina [22 ...
Acknowledgment The author would like to thank Dr. Izzat Alsmadi for his assistance in collecting research papers and valuable comments. ...
doi:10.17706/jsw.10.8.971-990
fatcat:ufbgatqeqvhateuas3cxkkogee
A capable multimedia content discovery platform based on visual content analysis and intelligent data enrichment
2017
Multimedia tools and applications
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An original concept of Complex Multimedia Objects which extend the MPEG-7 standard to hold the processed data and bind it into content related collections is introduced. ...
Finally, IMCOP's advantages in reference to other content discovery platforms are discussed and summed up. ...
Instead, end-user requests activate IMCOP services to prepare recommendations in terms of the desired multimedia content. ...
doi:10.1007/s11042-017-5014-1
fatcat:oo4axage6fehflcamsfe2ivvom
Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines
2019
Mobile Information Systems
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Secondly, the factorization machine is applied to train these latent topics to predict the probability of mobile services invoked by Mashup and recommend mobile services with high-quality for Mashup development ...
This method, first of all, extends the description documents of Mashup applications and mobile services by using Word2vec tool and derives latent topics from the extended description documents of Mashup ...
Collaborative topic regression is proposed by Liu and Fulia [5] , which combines probabilistic topic modelling and probabilistic matrix factorization for service recommendation. e existing methods based ...
doi:10.1155/2019/6423805
fatcat:rb36rxxw2fez3mjnecismxlvvy
Topic Model based Collaborative QoS Prediction
2014
Applied Mathematics & Information Sciences
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In this paper, we utilize a collaborative framework by integrating matrix factorization with probabilistic topic model to predict QoS values. ...
Specifically, the basic idea of the proposed approach is collaborative filtering via matrix factorization, while the cold-start problem is handled by employing probabilistic topic model based on WSDL ( ...
Inspired by the collaborative topic regression model proposed by Wang [5] , we propose a collaborative QoS prediction model called CQP. ...
doi:10.12785/amis/080553
fatcat:7ktoyncyczaldohgztgbnxyplq
Web service based model for inter-agent communication in multi-agent systems: A case study
2011
2011 11th International Conference on Hybrid Intelligent Systems (HIS)
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We propose a web services based communication model for interagent communication allowing heterogeneous agents in a multi agent system to freely collaborate. ...
By providing a web services based interface, we allow agents as well as non-agent based services in a distributed system to yield the benefits of agent technology. ...
By integrating JACK agents into a Jason based multi agent system, we also showed how a pub/sub communication model based on web services can be used to achieve collaboration amongst heterogeneous agents ...
doi:10.1109/his.2011.6122191
dblp:conf/his/WeerawardhanaJ11
fatcat:znyedhndjzd7tgv6tbuerfgbee
Neural Networks in Big Data and Web Search
2018
Data
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suggested or results displayed are either complete or relevant to their search aspirations due to the commercial background of the search service. ...
As digitalization is gradually transforming reality into Big Data, Web search engines and recommender systems are fundamental user experience interfaces to make the generated Big Data within the Web as ...
extend their reader audience [63] in order to get cited more. ...
doi:10.3390/data4010007
fatcat:2irxpdvtfrclrbndkrubl5jvqq
Multilabel Learning for Automatic Web Services Tagging
2014
International Journal of Advanced Computer Science and Applications
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In this paper we propose a novel probabilistic topic model (which extends the CorrLDA model -Correspondence Latent Dirichlet Allocation-) to automatically tag web services according to existing manual ...
We also develop three strategies to automatically recommend the best tags for web services. ...
Similary this idea, Gawinecki et al. use structured collaborative tags to matchmake web services [14] . ...
doi:10.14569/ijacsa.2014.050827
fatcat:pzc7et3gpnezbjjj6l27d46ig4
New draft item
[article]
2016
Figshare
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Noticeably, MOOCs have to adapt to the fast development of new technologies; they alsohave to satisfy the current generation of online students. ...
Semantic technologies supportmore flexible information management than that offered by the current MOOCs' platforms. ...
information retrieval methodology consisting of collaboratively generated, open-ended labels that categorize Web content''), social/collaborative (Kruk & McDaniel, 2008) bookmarking, dynamic taxonomies ...
doi:10.6084/m9.figshare.3423689.v1
fatcat:asogsahrurebdhntxvhhs3qh2m
Software development environments on the web
2012
Proceedings of the ACM international symposium on New ideas, new paradigms, and reflections on programming and software - Onward! '12
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The Web provides a generic user interface that allows ubiquitous access, instant collaboration, integration with other online services, and avoids installation and configuration on desktop computers. ...
Software is rapidly moving from the desktop to the Web. ...
We would like to thank Molham Aref, Martin Bravenboer, Shan Shan Huang (LogicBlox), and Rik Arends (Cloud9) for our discussions about software development on the web. ...
doi:10.1145/2384592.2384603
dblp:conf/oopsla/KatsVKV12
fatcat:otaopqstuvd2jchq3nmhbvpbyu
User Response Prediction in Online Advertising
[article]
2021
arXiv
pre-print
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In this survey, we provide a comprehensive review of user response prediction in online advertising and related recommender applications. ...
The prosperity of online campaigns is a challenge in online marketing and is usually evaluated by user response through different metrics, such as clicks on advertisement (ad) creatives, subscriptions ...
In an extended matrix factorization design [95] , hierarchical information of web-page and ads are integrated as additional side information into latent features of collaborative filtering to tackle data ...
arXiv:2101.02342v2
fatcat:clgefamcd5fmbeg5ephizy3zqu
Measuring Conversational Journalism: An Experimental Test of Wiki, Twittered and "Collaborative" News Models
2013
Studies in Media and Communication
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The second study tested that theoretical model in a controlled experiment by comparing traditional, Associated-Press style stories with what Thorson and Duffy (2006) describe as "collaborative" news, Studies ...
This exploratory study sought to help close that gap by theoretically indentifying a way to measure conversation"s features in terms of the audience experience, then testing the model on outcome measures ...
As such, participants had equal opportunity to read each type of article by topic. ...
doi:10.11114/smc.v1i2.260
fatcat:vstuwlcrvnacjlpdg7jj6cutiy
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