A study on user perception and experience differences in recommendation results by domain expertise: the case of fashion domains
To improve user satisfaction to the recommender systems (RS), it is essential to identify how
users would perceive the system and what recommendation results they would prefer …
users would perceive the system and what recommendation results they would prefer …
A genetic algorithm approach to context-aware recommendations based on spatio-temporal aspects
S Linda, KK Bharadwaj - Integrated intelligent computing, communication …, 2019 - Springer
Context-aware recommender systems (CARS) have been extensively studied and effectively
implemented over the past few years. Collaborative filtering (CF) has been established as a …
implemented over the past few years. Collaborative filtering (CF) has been established as a …
Recommendation by users' multimodal preferences for smart city applications
As an essential role in smart city applications, personalized recommender systems help
users to find their potentially interested items from their historically generated data. Recently …
users to find their potentially interested items from their historically generated data. Recently …
GroRec: a group-centric intelligent recommender system integrating social, mobile and big data technologies
Y Zhang - IEEE Transactions on Services Computing, 2016 - ieeexplore.ieee.org
In recent years, an extensive integration of cyber, physical and social spaces has been
occurring. Cyber-Physical-Social Systems (CPSSs) have become the basic paradigm of …
occurring. Cyber-Physical-Social Systems (CPSSs) have become the basic paradigm of …
CityVoyager: An outdoor recommendation system based on user location history
Y Takeuchi, M Sugimoto - International Conference on Ubiquitous …, 2006 - Springer
Recommendation systems, which automatically understand user preferences and make
recommendations, are now widely used in online shopping. However, so far there have …
recommendations, are now widely used in online shopping. However, so far there have …
A multidimensional approach for context-aware recommendation in mobile commerce
M Hosseini-Pozveh, M Nematbakhsh… - arXiv preprint arXiv …, 2009 - arxiv.org
Context as the dynamic information describing the situation of items and users and affecting
the users decision process is essential to be used by recommender systems in mobile …
the users decision process is essential to be used by recommender systems in mobile …
Exploring latent preferences for context-aware personalized recommendation systems
Context-aware recommendations offer the potential of exploiting social contents and utilize
related tags and rating information to personalize the search for content considering a given …
related tags and rating information to personalize the search for content considering a given …
Efficient music recommender system using context graph and particle swarm
Music recommender systems is an important field of research because of easy availability
and use of online music. The most existing models only focus on explicit data like ratings …
and use of online music. The most existing models only focus on explicit data like ratings …
Towards context-aware media recommendation based on social tagging
These days, there are huge amount of multimedia contents that are available for users.
Selecting and exploiting favorite contents from such online available collections is a big …
Selecting and exploiting favorite contents from such online available collections is a big …
[PDF][PDF] A Deep Learning Based Approach for Context-Aware Multi-Criteria Recommender Systems.
SL Vu, QH Le - Comput. Syst. Sci. Eng., 2023 - cdn.techscience.cn
Recommender systems are similar to an information filtering system that helps identify items
that best satisfy the users' demands based on their preference profiles. Context-aware …
that best satisfy the users' demands based on their preference profiles. Context-aware …