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A content-based system for music recommendation and visualization of user preferences working on semantic notions

Dmitry Bogdanov, Martin Haro, Ferdinand Fuhrmann
2011 2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI)  
Using these services, the system retrieves a set of tracks preferred by a user, and further computes a semantic description of musical preferences based on raw audio information.  ...  Thereafter, the system generates music recommendations, using a semantic music similarity measure, and a user's preference visualization, mapping semantic descriptors to visual elements.  ...  Acknowledgments This research has been partially funded by the FI Grant of Generalitat de Catalunya (AGAUR).  ... 
doi:10.1109/cbmi.2011.5972554 dblp:conf/cbmi/BogdanovHFXGH11 fatcat:qyardjwo2jcxhf5ddov44ifo4u

Intelligent User Interfaces for Music Discovery

Peter Knees, Markus Schedl, Masataka Goto
2020 Transactions of the International Society for Music Information Retrieval  
Phase 3 is dominated by recommender systems built upon the collection of online music interaction traces on a large scale. These interfaces are connected to streaming services.  ...  In this article, we reflect on the evolution of MIR-driven intelligent user interfaces for music browsing and discovery over the past two decades.  ...  For accessing digital repositories of acoustic content, retrieving relevant pieces from music collections, and discovering new music, interfaces based on querying, visual browsing, or recommendation have  ... 
doi:10.5334/tismir.60 fatcat:clhfsnzwxzgu3bjtkxf3fyws7u

Ontology-Based Personalised and Context-Aware Recommendations of News Items

Iván Cantador, Alejandro Bellogín, Pablo Castells
2008 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
Based on the similarities between item descriptions and user profiles, and the semantic relations between concepts, content-based and collaborative recommendation models are supported by the system.  ...  News contents and user preferences are described in terms of concepts appearing in a set of domain ontologies.  ...  The expressed content is the view of the authors but not necessarily the view of the MESH project as a whole.  ... 
doi:10.1109/wiiat.2008.204 dblp:conf/webi/CantadorBC08 fatcat:ahokl73ztveyzdiuq73jkgmzpe

Exploring the Semantic Gap for Movie Recommendations

Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi
2017 Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17  
To this end, we rst performed an o ine performance assessment by implementing a pure content-based recommender system with three di erent versions of the same algorithm, respectively based on (i) conventional  ...  movie a ributes, (ii) mise-en-scène features, and (iii) a hybrid method that interleaves recommendations based on movie a ributes and mise-en-scène features.  ...  Credits for Research program.  ... 
doi:10.1145/3109859.3109908 dblp:conf/recsys/ElahiDMCCC17 fatcat:2yflumh7ubcmxp7dzpv5v2cvym

User-Aware Music Retrieval

Markus Schedl, Sebastian Stober, Emilia Gómez, Nicola Orio, Cynthia C.S. Liem, Marc Herbstritt
2012 Dagstuhl Publications  
We then propose and discuss various requirements for a personalized, user-aware music retrieval system.  ...  A personalized system is one that incorporates information about the user into its data processing part (e.g., a particular user taste for a movie genre).  ...  Using these services, the system retrieves a set of tracks preferred by a user, and further tries to infer a semantic description of musical preferences from raw audio information.  ... 
doi:10.4230/dfu.vol3.11041.135 dblp:conf/dagstuhl/SchedlSGOL12 fatcat:weo2yddzzrfwjkgmfk7zrs3apy

Music Recommendation: A multi-faceted approach

Oscar Celma, Xavier Serra
2006 Zenodo  
As a test–bed example, two prototypes have been developed a music search engine and music discovery based on music similarity, and a hybrid music recommender.  ...  Music recommendation involves the modelling of user preferences, as well as the matching between profiles and music related information.  ...  One of the most important issues for a recommender system is how to model users' preferences and their profiles.  ... 
doi:10.5281/zenodo.3743108 fatcat:wcfdl34jnzeqtmzjzamjjvdt44

Personalization in multimedia retrieval: A survey

Yijuan Lu, Nicu Sebe, Ross Hytnen, Qi Tian
2010 Multimedia tools and applications  
The goal of this survey is to give an overview of the current situation in the branches of research that are involved in annotation, relation and presentation to a user by preference.  ...  data to an actual usable user interface that adapts with user preference and customization.  ...  The work of Nicu Sebe has been supported by the FP7 IP GLOCAL european project and by the FIRB S-PATTERN project.  ... 
doi:10.1007/s11042-010-0621-0 fatcat:lopdnnydibfbtowpl2bicoswye

An Enhanced Semantic Layer for Hybrid Recommender Systems

Iván Cantador, Pablo Castells, Alejandro Bellogín
2011 International Journal on Semantic Web and Information Systems (IJSWIS)  
Recommender systems have achieved success in a variety of domains, as a means to help users in information overload scenarios by proactively finding items or services on their behalf, taking into account  ...  As a proof of concept and evaluation testbed, the approach is evaluated through its implementation in a news recommender system, in which it is tested with real users.  ...  Personalised recommendation Our notion of personalised recommendation is based on the definition of a matching algorithm that provides a personal relevance measure of an item for a user .  ... 
doi:10.4018/jswis.2011010103 fatcat:q7nptioe6zawzi7de7dj3dezcm

New grand challenge for multimedia information retrieval: bridging the utility gap

Alan Hanjalic
2012 International Journal of Multimedia Information Retrieval  
Then, some possibilities for realizing the utility-by-design approach will be highlighted and translated into a number of recommended research directions.  ...  The needs and expectations regarding multimedia content access have grown rapidly with the fast development of multimedia technology and the explosion of multimedia content around us.  ...  [4] developed a collaborative music recommendation system that infers the affinity between users and music items by means of a hypergraph.  ... 
doi:10.1007/s13735-012-0019-z fatcat:adhutbvjivbszlnqqpkdetfv5q

Discovering Similarities for Content-Based Recommendation and Browsing in Multimedia Collections

Taras Lehinevych, Nikolaos Kokkinis-Ntrenis, Giorgos Siantikos, A. Seza Dogruoz, Theodoros Giannakopoulos, Stasinos Konstantopoulos
2014 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems  
Then, three similarity matrices (one for each medium) have been computed based on Gaussian Mixture Models (audio and visual) and Latent Semantic Indexing (text).  ...  This last result is very important and can be either used in (a) a personalized content-based retrieval and recommender system and (b) in a "local" weighted fusion approach, in future research.  ...  colleagues at NCSR, and members of the general public for donating their time and effort to provide similarity annotations.  ... 
doi:10.1109/sitis.2014.98 dblp:conf/sitis/LehinevychKSDGK14 fatcat:5rcveoh3yjdbjcf4phozgzisoi

Cinemappy: a Context-aware Mobile App for Movie Recommendations boosted by DBpedia

Vito Claudio Ostuni, Tommaso Di Noia, Roberto Mirizzi, Davide Romito, Eugenio Di Sciascio
2012 International Semantic Web Conference  
Cinemappy refines the recommendation results of a content-based recommender system by exploiting contextual information related to the current spatial and temporal position of the user.  ...  The content-based engine leverages DBpedia, one of the best-known datasets publicly available in the Linked Open Data (LOD) project.  ...  The authors acknowledge partial support of HP IRP 2011. Grant CW267313. The authors wish to thank Giosia Gentile for his contribution to development of Cinemappy.  ... 
dblp:conf/semweb/OstuniNMRS12 fatcat:4bshgqazfvhlvhkamzwjs365wy

The Many Faces of Users: Modeling Musical Preference

Eva Zangerle, Martin Pichl
2018 Zenodo  
To this end, the musical preferences of users in the context of music recommender systems have mostly been captured in collaborative filtering-based approaches.  ...  In this paper, we provide a detailed analysis and evaluation of different user models that describe a user's musical preferences based on acoustic features of tracks the user has listened to.  ...  They model the user's preference in a latent semantic space based on a set of diverse content features and propose a set of similarity-based recommender systems.  ... 
doi:10.5281/zenodo.1492515 fatcat:cudishkscbeb5cv35u6ptyaqxa

Geoshuffle: Location-Aware, Content-Based Music Browsing Using Self-Organizing Tag Clouds

Scott Miller, Paul Reimer, Steven R. Ness, George Tzanetakis
2010 Zenodo  
An alternative is visualization interfaces that are based on automatic analysis of musical content.  ...  Examples of visualizations for music discovery in commercial and research systems can be found in the Visualizing Music blog 3 .  ... 
doi:10.5281/zenodo.1417702 fatcat:bpxmcygcmjg3tdivqoevpxflzi

Large-Scale Content-Only Video Recommendation

Joonseok Lee, Sami Abu-El-Haija
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
With the increase of user-created videos, however, recommending fresh videos gets more and more important, but pure CF-based systems may not perform well in such cold-start situation.  ...  but using only visual and audial content.  ...  Summary and Future Work In this paper, we proposed a video recommendation system based on raw visual and audial content.  ... 
doi:10.1109/iccvw.2017.121 dblp:conf/iccvw/LeeA17 fatcat:gshyxrsdi5du3ih5gt7s7vfm6u

Toward a Structural and Semantic Metadata Framework for Efficient Browsing and Searching of Web Videos

Hyun-Hee Kim
2017 Journal of the Korean Society for Library and Information Science  
This study proposed a structural and semantic framework for the characterization of events and segments in Web videos that permits content-based searches and dynamic video summarization.  ...  Although MPEG-7 supports multimedia structural and semantic descriptions, it is not currently suitable for describing multimedia content on the Web.  ...  The collaborative filtering approach intends to recommend items to a user based on other people who are found to have similar preferences or tastes, whereas the content-based approach that is based on  ... 
doi:10.4275/kslis.2017.51.1.227 fatcat:3zlaebvw5vasph462xxjeea6vy
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