[PDF] Top 20 A Context-Aware Music Recommendation

... a context aware music recommendation based on contextual tag information by making full use of the user’s information and music,tag ...suggest music and ... See full document

... a context-dependent variant of hierarchical agglomerative clustering of tags to personalize navigational ...item-tag recommendation framework by integrating profiles of users and tag ...a ... See full document

... of recommendation algorithms are used for the recommendation such as: Traditional Collaborative Filtering, Cluster Models and Search-Based Methods ...but recommendation quality is relatively poor. To ... See full document

... location context in a CoARS. Furthermore, other context information can be measured about the user or item ...the context."[6] Defined by Saeedi et al. [2], a context-aware model ... See full document

... The reason why LTMF gains less promotion can be explained from two sides. Numerically, for the comparison model LMF is already a strong base- line proposed by ourselves, it’s more difficult to make a significant ... See full document

... The Comoda dataset was used in this series of experiments. At the time of use, this dataset includes 121 users, 1,620 items, and 2,296 ratings (for movies). This dataset has 12 types of contextual information: time, ... See full document

... Music recommender systems are decision support tools that solves the information overload problem by recommending the items that are interesting and relevant to the user, based on the user’s music ... See full document

... a context based model have also been proposed ...recommends music based on the mood of the user [8]. Whereas the context based model collects other contextual information such as comments, ... See full document

... of music by the computer is the new possibility in the field of music information retrieval ...of music content, are high, a multitude of research topics in this field are pursued by the researchers, ... See full document

... Third, the performance of RepeatNet varies with differ- ent domains. Table 3 shows that RepeatNet has a bigger ad- vantage in the music domain than in the e-commerce do- main; we believe this is due to different ... See full document

... Before your application can access private data using a Google API, it must obtain an access token that grants access to that API.. A single access token can grant varying degrees of ac[r] ... See full document

... S. Dhillon, Cho Jui Hsieh, Hsiang Fu Yu, and Si Si, [6] they propose techniques for the solving the large scale matrix factorization problems in recommendation system. In this they used optimization techniques ... See full document

... be “khusii”), “apanii”, “tumase”, “mashahuur”, “budanaam” etc. After removing stopwords, only these words left for the test; thus no match is found with the training dataset. The use of similar words in a different sense ... See full document

... A hybrid recommender system based on user-recommender interactions is proposed in [6]. The authors have proposed a three stage process. In the first stage, the user-recommender interaction is defined. The recommender ... See full document

... generate recommendations and suggestions for preventive intervention and also enables the patient to contact other people suffering from a similar condition and exchange information on their experience [13]. iDoctor was ... See full document

... food recommendation systems is surprisingly small although this particular domain could benefit significantly from recommendation ...a context- aware food recommendation system for ... See full document

... as context-awareness and ...their context and automate a number of tasks, effectively reducing the attention required by the end ...Keywords: Context-awareness, self-adaptation, simulation, ... See full document

... learning music system proposed in this paper aims at combining two technologies IoT and machine learning that work best together resulting in a truly intelligent system that can learn and take ... See full document

... of music information retrieval and recommendation, emotion is considered contextual information that is hard to capture, albeit highly ...the music preference of the user. For capturing ... See full document

... Ubiquitous Context-aware Healthcare Service System (UCHS), which offers efficient nature medicine recommendations to the elderly citizen based on their life vital signal (like blood pressure, blood sugar, ... See full document