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Multimedia recommendation

Jialie Shen, Meng Wang, Shuicheng Yan, Peng Cui
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
In order to tackle the challenge, various multimedia recommendation technologies have been developed by different research communities (e.g., multimedia systems, information retrieval, machine learning  ...  Meanwhile, many commercial web systems (e.g., Flick, YouTube, and Last.fm) have successfully applied recommendation techniques to provide users personalized content and services in a convenient and flexible  ... 
doi:10.1145/2484028.2484194 dblp:conf/sigir/ShenWYC13 fatcat:a7wmabozm5bd5kapajulfstr3u

Towards next generation multimedia recommendation systems

Jialie Shen, Xian-Sheng Hua, Emre Sargin
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
As the key technology to address the problem of information overload, multimedia recommendation system has been received a lot of attentions from both industry and academia.  ...  Empowered by advances in information technology, such as social media network, digital library and mobile computing, there emerges an ever-increasing amounts of multimedia data.  ...  INTRODUCTION Multimedia recommendation system is emerging as a promising technology to address the problem of information overload.  ... 
doi:10.1145/2502081.2502233 dblp:conf/mm/ShenHS13 fatcat:tkhmcuxcxbbt5pgam5hikgurta

Enhancing Video Recommendation Using Multimedia Content [chapter]

Yashar Deldjoo
2019 SpringerBriefs in Applied Sciences and Technology  
Variety of tasks related to movie recommendation using multimedia content have been studied.  ...  video recommender systems have been elaborated, implemented, and analyzed.  ...  I believe different systems, techniques and tasks for movie recommendation, which were studied in this Ph.D. thesis can pave the path for a new paradigm of video (and in general multimedia) recommender  ... 
doi:10.1007/978-3-030-32094-2_6 fatcat:ejusjykphfbe3jwes6u3r55uxe

Adversarial Training Towards Robust Multimedia Recommender System [article]

Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, Tat-Seng Chua
2019 arXiv   pre-print
We conduct experiments on two representative multimedia recommendation tasks, namely, image recommendation and visually-aware product recommendation.  ...  To date, however, there has been little effort to investigate the robustness of multimedia representation and its impact on the performance of multimedia recommendation.  ...  To effectively leverage rich multimedia features, a variety of multimedia recommendation techniques have been proposed.  ... 
arXiv:1809.07062v4 fatcat:4jworkx3xzgwnkw2phi3sgr6g4

Heritage Multimedia and Children Edutainment: Assessment and Recommendations

Naif A. Haddad
2014 Advances in Multimedia  
Though there have been introductory applications of this edutainment multimedia technology, it will require a multidisciplinary team to create heritage programming which is as entertaining as it is intellectually  ...  This paper thus aims to explore how heritage education can be redefined, using some of the most innovative virtual imaging and artificial reality technologies to at once expand access and engagement with  ...  recommendation.  ... 
doi:10.1155/2014/579182 fatcat:aifele2jcfaa3iipramrzzcfvi

Mobile Multimedia Recommendation in Smart Communities: A Survey [article]

Feng Xia, Nana Yaw Asabere, Ahmedin Mohammed Ahmed, Jing Li, Xiangjie Kong
2013 arXiv   pre-print
In order to tackle this problem, researchers have developed various techniques that recommend multimedia for mobile users.  ...  A cautious analysis of existing research reveals that the implementation of proactive, sensor-based and hybrid recommender systems can improve mobile multimedia recommendations.  ...  companions. 2) Intelligent User Interfaces and Improving Hybrid Recommender Techniques Extensive and continuous researches in the area of Intelligent User Interface approaches of mobile multimedia recommender  ... 
arXiv:1312.6565v1 fatcat:myep75jg4fcvhgscrxjmouoksm

Recommending multimedia visiting paths in cultural heritage applications

Ilaria Bartolini, Vincenzo Moscato, Ruggero G. Pensa, Antonio Penta, Antonio Picariello, Carlo Sansone, Maria Luisa Sapino
2014 Multimedia tools and applications  
In this paper, we present a general recommendation framework able to uniformly manage heterogeneous multimedia data coming from several web repositories and to provide context-aware recommendation techniques  ...  The valorization and promotion of worldwide Cultural Heritage by the adoption of Information and Communication Technologies represent nowadays some of the most important research issues with a large variety  ...  Here, we present a general multimedia recommender system able to uniformly manage heterogeneous multimedia data and to provide context-aware recommendation techniques supporting intelligent multimedia  ... 
doi:10.1007/s11042-014-2062-7 fatcat:ksjcltx5efcnhmjfqgyl4syra4

A Novel Hybrid K-Means PLSA Technique for Music Recommender

Gurpreet Singh, Rajdavinder Singh Boparai, Mohit Kathpal
2016 Indian Journal of Science and Technology  
using PLSA technique.  ...  The proposed hybrid approach is expected to achieve the higher accuracy and efficiency as compared to other approaches for music recommendation.  ...  Lesser hardware costs and up gradations in technology have led to a diverse growth in digital music.  ... 
doi:10.17485/ijst/2016/v9i16/89845 fatcat:luqi3l3j25bajljfa2j6s2htre

Semantic user profiling techniques for personalised multimedia recommendation

Frank Hopfgartner, Joemon M. Jose
2010 Multimedia Systems  
The organised interests are used to retrieve and recommend news stories to the users.  ...  In this work, we introduce a semantic based user modelling technique to capture users' evolving information needs.  ...  The recommendation technique is based on the idea that ontologies can be exploited to set news stories into their semantic context.  ... 
doi:10.1007/s00530-010-0189-6 fatcat:nqapk2i67jfttaytbifg33ytia

An Era of Recommendation Technologies in IoT: Categorisation by techniques, Challenges and Future Scope

Partibha Ahlawat, Chhavi Rana
2021 Pertanika journal of science & technology  
We conclude the paper by discussing the challenges and future scope for IoT based recommendations techniques to advancing and widening the frontiers of this research area.  ...  Recommendation technologies have proven their capabilities of digging the personalised information by proactive filtering in many application domains and can also be a backbone platform in IoT for identifying  ...  ACKNOWLEDGEMENT The first author of the paper likes to say thanks to her guide cum supervisor Dr Chhavi Rana for guidance and supervision.  ... 
doi:10.47836/pjst.29.4.07 fatcat:dtubrmawxjhw7lu35l3fsqrs64

A Weight-Aware Recommendation Algorithm for Mobile Multimedia Systems

Pedro M. P. Rosa, Joel J. P. C. Rodrigues, Filippo Basso
2013 Mobile Information Systems  
) and other data-fusion techniques.  ...  This paper presents a mobile recommendation system for events, based on few weighted context-awareness data-fusion algorithms to combine several multimedia sources.  ...  para a Ciência e a Tecnologia through the PEst-OE/EEI/LA0008/2011 Project, and by the company Zirak s.r.l., Italy.  ... 
doi:10.1155/2013/291358 fatcat:kpl45olkijdetg5s2u4q67jgia

Content-based music audio recommendation

Pedro Cano, Markus Koppenberger, Nicolas Wack
2005 Proceedings of the 13th annual ACM international conference on Multimedia - MULTIMEDIA '05  
MusicSurfer automatically extracts descriptions related to instrumentation, rhythm and harmony from music audio signals.  ...  Together with efficient similarity metrics, the descriptions allow navigation of multimillion track music collections in a flexible and efficient way without the need for metadata nor human ratings.  ...  A detailed analysis of the results [5] shows that state-of-the-art technology, based on standard machine learning techniques associated to relatively low-level descriptions of musical items, such as  ... 
doi:10.1145/1101149.1101181 dblp:conf/mm/CanoKW05 fatcat:ydjojutg3bbpta47q7j7of4mz4

A PERSONALITY-BASED AGGREGATION TECHNIQUE FOR GROUP RECOMMENDATION

Emre YALÇIN, Alper BİLGE
2020 Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering  
personality traits, openness, agreeableness, emotional stability, conscientiousness, and extraversion; and then utilizes them to weight the preferences during the aggregation process.  ...  The main goal of a group recommender system is to provide appropriate referrals to a group of users sharing common interests rather than individuals.  ...  The FlyTrap [11] and Adaptive In-Vehicle Multimedia System [12] are other salient examples of GRSs in the music domain.  ... 
doi:10.18038/estubtda.743422 fatcat:fu4xah3bvndo5agp6rquolndt4

Personal Preference Based Movie Recommendation System

Sang-Hyun You, Jeawon Park, Jaehyun Choi
2016 International Journal of Multimedia and Ubiquitous Engineering  
This paper derived a regression equation using collaborative filtering of user preference information and official movies information to solve the problems, thereby proposing a movie recommendation system  ...  However, despite the large amount of information available due to information technological advancement, finding information specific to the user's concern is getting more difficult.  ...  Due to the development of IOT technology and popularization of smartphones, users can now access variety of information.  ... 
doi:10.14257/ijmue.2016.11.9.02 fatcat:sufult4jgrdotkgh6nf7zutubq

Location-aware music recommendation

Matthias Braunhofer, Marius Kaminskas, Francesco Ricci
2013 International Journal of Multimedia Information Retrieval  
Following an initial web-based evaluation of the core matching technique, we have developed a mobile application that suggests an itinerary and plays recommended music for each visited POI, and evaluated  ...  In recent years a new research area of contextual music recommendation and retrieval has emerged.  ...  Related Work Music Recommender Systems Recommender systems are software tools and techniques providing suggestions of the items to be of use to a user [20] .  ... 
doi:10.1007/s13735-012-0032-2 fatcat:rsnuezqbqrg65axa5d242th6xe
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