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Content-based Recommender Systems: State of the Art and Trends
[chapter]
2010
Recommender Systems Handbook
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In this paper we describe the different approaches used for recommendations and also the challenges and drawbacks of the existing recommendations systems. ...
It provides suggestions by filtering the information from this availability of information, such that the users are provided with only those recommendations that best suits and meets the user's needs and ...
And also we would like to thank all my college faculties for sharing their pearls of wisdom with us during the course of this research. ...
doi:10.1007/978-0-387-85820-3_3
fatcat:yfbrixlflbeqbcipxwbbo7xbiy
Fog Computing Systems: State of the Art, Research Issues and Future Trends, with a Focus on Resilience
[article]
2020
arXiv
pre-print
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This paper surveys the state of the art in the relevant fields, and discusses the research issues and future trends that are emerging. ...
The high heterogeneity, complexity, and dynamics of these resource-constrained systems bring new challenges to their robust and reliable operation, which implies the need for integral resilience management ...
We thank the reviewers very much for their constructive and positive comments, which have helped improve the quality of this paper. ...
arXiv:1908.05077v4
fatcat:tgtn7rlkpnejxixctw5gorlxnu
Enhanced vector space models for content-based recommender systems
2010
Proceedings of the fourth ACM conference on Recommender systems - RecSys '10
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at advance the state of the art of content-based
recommender system. ...
[LdGS11] Pasquale Lops, Marco de Gemmis, and Giovanni Semeraro.
Content-based recommender systems: State of the art and trends. ...
doi:10.1145/1864708.1864791
dblp:conf/recsys/Musto10
fatcat:btpepieksvdrtpgdihskllxc34
Third Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2016)
2016
Proceedings of the 10th ACM Conference on Recommender Systems - RecSys '16
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The CBRecSys workshop provides a dedicated venue for papers dedicated to all aspects of content-based recommendation. ...
While content-based recommendation has been applied successfully in many different domains, it has not seen the same level of attention as collaborative filtering techniques have. ...
Content-based Recommender Systems: State of the Art and Trends. In Recommender Systems Handbook, pages -. Springer, . [ ] I. Pilászy and D. Tikk. ...
doi:10.1145/2959100.2959200
dblp:conf/recsys/BogersKMLS16
fatcat:lnftrhy2und3bigw3spn73mt3u
Trends in content-based recommendation
2019
User modeling and user-adapted interaction
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For instance, contextual embeddings have recently been shown to outperform the state-of-the-art on certain NLP tasks (Seo et al. 2017a) , and they could show promise for content-based recommendation algorithms ...
History, trends, and future of content-based recommenders
Historical developments Some of the underlying ideas of content-based filtering go back to the 1960s and to early ideas of what was called "Selective ...
doi:10.1007/s11257-019-09231-w
fatcat:ftunw4mq5vgojifno3yqklfwbq
State of the art and trends in speech coding
1995
Philips Journal of Research
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The paper, which primarily deals with narrowband speech coding systems, is concluded by a review of the state of affairs and an outline of the future trends in the area of wideband speech coding. ...
In the survey that follows, several standardized speech coding systems reflecting the state of the art in speech coding are discussed in terms of coding method, bit rate, performance, complexity and typical ...
Narrowband coding systems Figure 12 depicts the state of the art in narrowband speech coding and the expected future trend (dashed line). ...
doi:10.1016/0165-5817(96)81591-9
fatcat:lzgivkduc5hfrhj752ucmteaim
Content-Based Video Recommendation System Based on Stylistic Visual Features
2016
Journal on Data Semantics
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We propose a new content-based recommender system that encompasses a technique to automatically analyze video contents and to extract a set of representative stylistic features (lighting, color, and motion ...
This paper investigates the use of automatically extracted visual features of videos in the context of recommender systems and brings some novel contributions in the domain of video recommendations. ...
The rest of the paper is organized as follows. Section 2 reviews the relevant state of the art, related to content-based recommender systems and video recommender systems. ...
doi:10.1007/s13740-016-0060-9
fatcat:gix7sg3hnjasncopkqfx6u5xba
Report on RecSys 2015 Workshop on New Trends in Content-Based Recommender Systems
2016
SIGIR Forum
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This article reports on the CBRecSys 2015 workshop, the second edition of the workshop on new trends in content-based recommender systems, co-located with RecSys 2015 in Vienna, Austria. ...
The CBRecSys workshop series provides a dedicated venue for work dedicated to all aspects of content-based recommender systems. 2 The continued popularity of the CBRecSys workshops in terms of both submissions ...
The CBRecSys workshop series aims to address this by providing a venue for papers dedicated to all aspects of and new trends in content-based recommender systems. ...
doi:10.1145/2888422.2888445
fatcat:qiarzrv4jbgmrp2ziyzoezrpzq
Linked open data to support content-based recommender systems
2012
Proceedings of the 8th International Conference on Semantic Systems - I-SEMANTICS '12
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We implemented a content-based RS that leverages the data available within Linked Open Data datasets (in particular DBpedia, Freebase and LinkedMDB) in order to recommend movies to the end users. ...
In this paper we show how these data can successfully be used to develop a recommender system (RS) that relies exclusively on the information encoded in the Web of Data. ...
Acknowledgments The authors wish to thank Marco de Gemmis for fruitful discussions and suggestions. This research is partially sponsored by HP IRP 2011. Grant CW267313. ...
doi:10.1145/2362499.2362501
dblp:conf/i-semantics/NoiaMORZ12
fatcat:56g2jsvwlbgv3ltduv5biiefr4
Stance Detection on Social Media: State of the Art and Trends
[article]
2020
arXiv
pre-print
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The survey reports the state-of-the-art results on the existing benchmark datasets onstance detection, and discusses the most effective approaches.In addition, this study explores the emerging trends and ...
An exhaustive review of stance detection techniques on social media ispresented, including the task definition, the different types of targets in stance detection, the features set used, and the variousmachine ...
Their memory based model provides the current state of the art result so far on the multi-target benchmark dataset. ...
arXiv:2006.03644v1
fatcat:hw3qqg2k3vbkjodef764c46ajy
State-of-the-Art and Trends in Atomic Absorption Spectrometry
[chapter]
2012
Atomic Absorption Spectroscopy
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That wavelength division does not www.intechopen.com State-of-the-Art and Trends in Atomic Absorption Spectrometry 15 have a physical meaning itself, being only a practical classification in accordance ...
The difference of energy between the last full orbital and the next empty orbital of the atom in a ground state is of the same order of magnitude of photons with wavelengths between 200 and 800 nm, this ...
www.intechopen.comState-of-the-Art and Trends in Atomic Absorption Spectrometry
www.intechopen.comAtomic Absorption Spectroscopy ...
doi:10.5772/26076
fatcat:b2i4szewpfeyxnm5vsarxzgwjq
Model-Based Definition and Enterprise: State-of-the-art and future trends
2020
Proceedings of the Institution of mechanical engineers. Part B, journal of engineering manufacture
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This paper aims to review the current literature on Model-Based Definition (MBD) and Model-Based Enterprise (MBE) to recognize the main contributions towards the development and implementation of MBD and ...
Additionally, the paper highlights the issues and challenges associated with the realization of MBE by the manufacturing industry. ...
Acknowledgement The authors are thankful to the Higher Education Commission (HEC) Pakistan and Cranfield University, United Kingdom for financial support of this research. ...
doi:10.1177/0954405420971087
fatcat:jvce7b44ivc3pahig7frvsdmqa
On Content-Based Recommendation and User Privacy in Social-Tagging Systems
[article]
2016
arXiv
pre-print
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Recommendation systems and content filtering approaches based on annotations and ratings, essentially rely on users expressing their preferences and interests through their actions, in order to provide ...
The impact of tag forgery on content-based recommendation is, therefore, investigated in a real-world application scenario where different forgery strategies are evaluated, and the consequent loss in utility ...
Rebollo-Monedero is the recipient of a Juan de la Cierva postdoctoral fellowship, JCI-2009-05259, from the Spanish Ministry of Science and Innovation.
References ...
arXiv:1605.06538v1
fatcat:qcifnrxlxzhh5ay3i5pmxrssaq
A new recommender system to combine content-based and collaborative filtering systems
2001
Journal of Database Marketing & Customer Strategy Management
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We would also like to thank DEC systems research centre for providing the data. ...
Consistent with this research trend, the authors have developed a hybrid recommender system to combine the content-based and collaborative filtering systems. ...
The content-based recommender system suggests products to consumers by analysing the content of items that they liked in the past. 6 Features and attributes of products can be contents of items. ...
doi:10.1057/palgrave.jdm.3240040
fatcat:73d6ijmvf5hyrgmio667jkr46e
Three-dimensional shape searching: state-of-the-art review and future trends
2005
Computer-Aided Design
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A brief description of each technique is provided followed by a detailed survey of the state-of-the-art. ...
The techniques developed for a particular domain will also find applications in other domains. We classify and compare various 3D shape searching techniques based on their shape representations. ...
Content-based retrieval systems retrieve objects based on the integral similarity of objects. ...
doi:10.1016/j.cad.2004.07.002
fatcat:2q5ltmci6ngufgpt76bcldrobq
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