Just-for-me: an adaptive personalization system for location-aware social music recommendation

Z Cheng, J Shen - … of international conference on multimedia retrieval, 2014 - dl.acm.org
The fast growth of online communities and increasing popularity of internet-accessing smart
devices have significantly changed the way people consume and share music. As an …

CSLIM: Contextual SLIM recommendation algorithms

Y Zheng, B Mobasher, R Burke - … of the 8th ACM Conference on …, 2014 - dl.acm.org
Context-aware recommender systems (CARS) take contextual conditions into account when
providing item recommendations. In recent years, context-aware matrix factorization (CAMF) …

Context awareness in mobile computing: A review

GW Musumba, HO Nyongesa - 2013 - repository.dkut.ac.ke
Context awareness is increasingly gaining applicability in interactive ubiquitous mobile
computing systems. In order to apply this concept in design of applications for dynamic …

Context-aware recommender systems in the music domain: A systematic literature review

A Lozano Murciego, DM Jiménez-Bravo… - Electronics, 2021 - mdpi.com
The design of recommendation algorithms aware of the user's context has been the subject
of great interest in the scientific community, especially in the music domain where contextual …

Towards a context-aware music recommendation approach: What is hidden in the playlist name?

M Pichl, E Zangerle, G Specht - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
New distribution channels like music streaming platforms paved way for making more and
more diverse music available to users. Thus, music recommender systems got in the focus of …

The recommender canvas: A model for developing and documenting recommender system design

G van Capelleveen, C Amrit, DM Yazan… - Expert systems with …, 2019 - Elsevier
The task of designing a recommender system is a complex process. Because of the many
technological advancements that may be included in a recommender system, engineers are …

Effects of recommendations on the playlist creation behavior of users

I Kamehkhosh, G Bonnin, D Jannach - User Modeling and User-Adapted …, 2020 - Springer
The digitization of music, the emergence of online streaming platforms and mobile apps
have dramatically changed the ways we consume music. Today, much of the music that we …

[HTML][HTML] A fuzzy content-based group recommender system with dynamic selection of the aggregation functions

R Yera, AA Alzahrani, L Martínez - International Journal of Approximate …, 2022 - Elsevier
Recommender systems are currently software tools that are focused on providing users with
the best choices in an overloaded search space of possible options. Hence, group …

LOOKER: a mobile, personalized recommender system in the tourism domain based on social media user-generated content

S Missaoui, F Kassem, M Viviani, A Agostini… - Personal and Ubiquitous …, 2019 - Springer
In a ubiquitous computing scenario, characterized by pervasive technologies, tourists can
get assistance from mobile technologies in planning their trips. In a context where more and …

Tailoring music recommendations to users by considering diversity, mainstreaminess, and novelty

M Schedl, D Hauger - Proceedings of the 38th international acm sigir …, 2015 - dl.acm.org
A shortcoming of current approaches for music recommendation is that they consider user-
specific characteristics only on a very simple level, typically as some kind of interaction …