An interpretable music similarity measure based on path interestingness
G Gabbolini, D Bridge - arXiv preprint arXiv:2108.01632, 2021 - arxiv.org
We introduce a novel and interpretable path-based music similarity measure. Our similarity
measure assumes that items, such as songs and artists, and information about those items …
measure assumes that items, such as songs and artists, and information about those items …
An empirical study on effect of semantic measures in cross-domain recommender system in user cold-start scenario
Cold-start problem is one of the fatal problems in recommender system. The development of
cross-domain recommender system (CDRS) provides feasibility to deal with the problem …
cross-domain recommender system (CDRS) provides feasibility to deal with the problem …
Measuring semantic distances using linked open data and its application on music recommender systems
HC Yang, CH Lee, WS Liao - Data Technologies and Applications, 2021 - emerald.com
Purpose Measuring the similarity between two resources is considered difficult due to a lack
of reliable information and a wide variety of available information regarding the resources …
of reliable information and a wide variety of available information regarding the resources …
A Semantic Distance Measurement Model using Weights on the LOD Graph in an LOD-based Recommender System
W Huh - Journal of the Korea Convergence Society, 2021 - koreascience.kr
LOD-based recommender systems usually leverage the data available within LOD datasets,
such as DBpedia, in order to recommend items (movies, books, music) to the end users …
such as DBpedia, in order to recommend items (movies, books, music) to the end users …