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Foafing The Music: A Music Recommendation System Based On Rss Feeds And User Preferences

Òscar Celma, Miquel Ramírez, Perfecto Herrera
2005 Zenodo  
Music is an important vehicle for communicating other people something relevant about our personality, history, etc.  ...  Contrastingly, the main goal of the Foafing the Music system is to recommend, to discover and to explore music content; based on user profiling -via FOAF descriptions-, context-based information -extracted  ... 
doi:10.5281/zenodo.1414800 fatcat:bpqxjhafgnay3kw4xeh2nub3vi

If You Like Radiohead, You Might Like This Article

Oscar Celma, Paul Lamere
2011 The AI Magazine  
In this article we explore one such tool: music recommendation.  ...  With so much music readily available, tools that help a user find new, interesting music that matches her taste become increasingly important.  ...  Using the API, we retrieved a list of tags with a normalized relevance value of 1..100 for each artist. 3. user profile lamere.  ... 
doi:10.1609/aimag.v32i3.2363 fatcat:wpnq6gltebch5leyee4rvhqpga

Semi-Automatic Annotation of Music Collections

Mohaed Sordo, Xavier Serra
2007 Zenodo  
One of the solutions for this problem is keeping annotations of the music files, in order to facilitate the retrieval process.  ...  The approach of this master thesis is to propose a semi-automatic strategy that allows to annotate huge music collections, based on audio similarity and a community of users that annotate music titles.  ...  feedback from the users • Improve audio similarity distances, by a multi-modal approach, that is, not only using "pure" content-based, but a hybrid one. • Improve the quality of music retrieval tasks,  ... 
doi:10.5281/zenodo.3743141 fatcat:5bmjq5ccr5euxhltdxrzpjfwky

A Review on Recommender System

L. Anitha, M. Kavitha Devi, P. Anjali Devi
2013 International Journal of Computer Applications  
Recommender System applies various Data Mining methodologies to recommend efficiently for all active users based on their interest, preferences and ratings given for previous items and even based on similar  ...  Almost everyone depend on the internet for everything such as reading newspapers, magazines, books and for searching research papers, to buy latest models of all gadgets and also for entertainment like  ...  VARIOUS RECOMMENDATION APPROACHES: 2.1 Content based recommendation method A content-based approach uses text-based items and analyzes the previous comments given by the user based on that the user profile  ... 
doi:10.5120/14098-2115 fatcat:u4l3kzg56rb53otv5jqoem2imq

Personalization in Multimodal Music Retrieval [chapter]

Markus Schedl, Peter Knees
2013 Lecture Notes in Computer Science  
The first one is taking into account the music context of a piece of music or an artist, while the second aspect tackled is that of the user context.  ...  It is therefore strongly related to user modeling and personalization, both facets of music information research that have not gained large attention by the MIR community so far.  ...  User Modeling and Personalization in Music Retrieval User profiling is without doubt key to enable personalized music services of the future.  ... 
doi:10.1007/978-3-642-37425-8_5 fatcat:ikpeobohjvcjbcqf6jbzt4uisu

A Tutorial on Information Filtering Concepts and Methods for Bio-medical Searching

Vinaitheerthan Renganathan Ajit N Babu
2013 Journal of Health & Medical Informatics  
It is intended for bio-medical investigators and students who have a basic understanding of the information retrieval concept, and would like to understand the workings of information filtering systems  ...  This paper throws light on different information filleting models, types of information filtering, and the difference between information retrieval and information filtering.  ...  Personalized content is retrieved based on information matching the user profile. The user profile is divided into two categories static or dynamic [11] .  ... 
doi:10.4172/2157-7420.1000131 fatcat:ze4uhgtmazc4tmfhwi5lcbuzby

An experiment in building profiles in information filtering: the role of context of user relevance feedback

Luz M Quiroga, Javed Mostafa
2002 Information Processing & Management  
based on users' profiles.  ...  The explicit mode allowed users to directly specify the profile; the implicit mode utilized relevance feedback to create and refine the profile; and the combined mode allowed users to initialize the profile  ...  based on relevance feedback.  ... 
doi:10.1016/s0306-4573(01)00058-9 fatcat:ohh7fifxfbasrpy4y352cuo43i

Introduction to the special issue on "Semantic Multimedia"

Yannis Avrithis, Noel E. O'Connor, Steffen Staab, Raphael Troncy
2008 Journal of Web Semantics  
, image/object/music retrieval and user relevance feedback.  ...  The fifth paper "Relevance Feedback for Category Search in Music Retrieval Based on Semantic Concept Learning" by Man-Kwan Shan, Meng-Fen Chiang and Fang-Fei Kuo also considers relevance feedback, but  ... 
doi:10.1016/j.websem.2008.02.004 fatcat:sqv6pfnxknfbhd5zmuagz56u5m

Introduction to the special issue on "semantic multimedia"

Yannis Avrithis, Noel E. O'Connor, Steffen Staab, Raphael Troncy
2008 Multimedia tools and applications  
content and the richness and subjectivity of semantics in user queries and human interpretations of audiovisual media -the so-called Semantic Gap.  ...  This means that the ways in which it can be accessed by users is also severely limited and so the full social or economic potential of this content cannot be realised.  ...  object/music retrieval and user relevance feedback.  ... 
doi:10.1007/s11042-008-0215-2 fatcat:vqc7qmyd2naxtkiksbccksk5di

The million song dataset challenge

Brian McFee, Thierry Bertin-Mahieux, Daniel P.W. Ellis, Gert R.G. Lanckriet
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
We introduce the Million Song Dataset Challenge: a largescale, personalized music recommendation challenge, where the goal is to predict the songs that a user will listen to, given both the user's listening  ...  history and full information (including meta-data and content analysis) for all songs.  ...  The authors would like to thank Paul Lamere and Brian Whitman of The Echo Nest for providing the taste profile data.  ... 
doi:10.1145/2187980.2188222 dblp:conf/www/McFeeBEL12 fatcat:xp7573b2tvhnpgimoczmw2ocsq

KISS MIR: Keep It Semantic and Social Music Information Retrieval

Amna Dridi, Mouna Kacimi
2015 Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
While content-based approaches for music information retrieval (MIR) have been heavily investigated, usercentric approaches are still in their early stage.  ...  However, none of them give the possibility to the user to choose the suitable context for his needs. In this paper we propose KISS MIR, a versatile approach for music information retrieval.  ...  The second class of approaches exploits usercontext to build user profile for personalized MIR.  ... 
doi:10.5220/0005616704330439 dblp:conf/ic3k/DridiK15 fatcat:a3l6rfwajvddrpye3xwh6dgoou

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.  ...  Particularly focusing on the music domain, this article gives an overview of different aspects we deem important to build personalized music retrieval systems.  ...  Query and Relevance Feedback The content-based MIR system for symbolic music described by Rolland [75] adjusts its similarity model based on feedback received during successive interactions with the  ... 
doi:10.4230/dfu.vol3.11041.135 dblp:conf/dagstuhl/SchedlSGOL12 fatcat:weo2yddzzrfwjkgmfk7zrs3apy

On Effective Personalized Music Retrieval by Exploring Online User Behaviors

Zhiyong Cheng, Shen Jialie, Steven C.H. Hoi
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
In this paper, we study the problem of personalized text based music retrieval which takes users' music preferences on songs into account via the analysis of online listening behaviours and social tags  ...  Based on the DL-MPTM, we further develop an effective personalized music retrieval system.  ...  [12] leveraged relevance feedback methods to refine users profiles for search performance improvement, while the method was designed for content-based music retrieval systems.  ... 
doi:10.1145/2911451.2911491 dblp:conf/sigir/ChengSH16 fatcat:rh3l23jvvzahzcyvtwq5efnjiy

Foafing the Music: Bridging the Semantic Gap in Music Recommendation [chapter]

Òscar Celma
2006 Lecture Notes in Computer Science  
The presented system provides music discovery by means of: user profiling (defined in the user's FOAF description), context based information (extracted from music related RSS feeds) and content based  ...  The system uses the Friend of a Friend (FOAF) and RDF Site Summary (RSS) vocabularies for recommending music to a user, depending on the user's musical tastes and listening habits.  ...  Moreover, music is an important vehicle for communicating other people something relevant about our personality, history, etc.  ... 
doi:10.1007/11926078_67 fatcat:4bfulz5pnndthmcfe6fnalyv6i

A Comprehensive Survey of Personalized Music Identifier System

Soumi Ghosh, Devanshu Tyagi, Daksh Vashisht, Abhishek Yadav, Dharmendra Rajput
2021 International journal of recent technology and engineering  
In future, more in-depth studies or research work need to be conducted based on enlarging the scope of further development of personalized contextual awareness based music identifier system and generating  ...  a continuous and automatic top playlist of music and songs with added tracks matching with profile, mood, emotional traits, and behaviour of the user in a mobile environment.  ...  for discovering music based on content.  ... 
doi:10.35940/ijrte.f5316.039621 fatcat:mspco6bxsvhddolhebdui5jtte
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