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Content-based Recommender Systems: State of the Art and Trends [chapter]

Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2010 Recommender Systems Handbook  
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]

Jose Moura, David Hutchison
2020 arXiv   pre-print
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

Cataldo Musto
2010 Proceedings of the fourth ACM conference on Recommender systems - RecSys '10  
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)

Toine Bogers, Marijn Koolen, Cataldo Musto, Pasquale Lops, Giovanni Semeraro
2016 Proceedings of the 10th ACM Conference on Recommender Systems - RecSys '16  
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

Pasquale Lops, Dietmar Jannach, Cataldo Musto, Toine Bogers, Marijn Koolen
2019 User modeling and user-adapted interaction  
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

R.J. Sluijter, F. Wuppermann, R. Taori, E. Kathmann
1995 Philips Journal of Research  
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

Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Franca Garzotto, Pietro Piazzolla, Massimo Quadrana
2016 Journal on Data Semantics  
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

Toine Bogers, Marijn Koolen
2016 SIGIR Forum  
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

Tommaso Di Noia, Roberto Mirizzi, Vito Claudio Ostuni, Davide Romito, Markus Zanker
2012 Proceedings of the 8th International Conference on Semantic Systems - I-SEMANTICS '12  
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]

Abeer AlDayel, Walid Magdy
2020 arXiv   pre-print
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]

Hlcio Jos Izrio Filho, Rodrigo Fernando dos Santos Salazar, Maria da Rosa Capri, ngelo Capri, Marco Aurlio Kondracki de Alcntara, Andr Lus de Castro Peixoto
2012 Atomic Absorption Spectroscopy  
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

Kamran Goher, Essam Shehab, Ahmed Al-Ashaab
2020 Proceedings of the Institution of mechanical engineers. Part B, journal of engineering manufacture  
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]

Silvia Puglisi, Javier Parra-Arnau, Jordi Forné, David Rebollo-Monedero
2016 arXiv   pre-print
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

B-D Kim, S-O Kim
2001 Journal of Database Marketing & Customer Strategy Management  
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

Natraj Iyer, Subramaniam Jayanti, Kuiyang Lou, Yagnanarayanan Kalyanaraman, Karthik Ramani
2005 Computer-Aided Design  
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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