Zobrazeno 1 - 10
of 286
pro vyhledávání: '"MORISIO, MAURIZIO"'
Autor:
Yarifard, Ali Asghar, Araban, Saeed, Paydar, Samad, Garousi, Vahid, Morisio, Maurizio, Coppola, Riccardo
Publikováno v:
In Information and Software Technology January 2025 177
Autor:
Çano, Erion, Morisio, Maurizio
Publikováno v:
Data Technologies and Applications, Vol. 53, No. 1, pp. 2-19, 2019
The fabulous results of convolution neural networks in image-related tasks, attracted attention of text mining, sentiment analysis and other text analysis researchers. It is however difficult to find enough data for feeding such networks, optimize th
Externí odkaz:
http://arxiv.org/abs/2006.16642
Driving and music listening are two inseparable everyday activities for millions of people today in the world. Considering the high correlation between music, mood and driving comfort and safety, it makes sense to use appropriate and intelligent musi
Externí odkaz:
http://arxiv.org/abs/2006.14279
Autor:
Çano, Erion, Morisio, Maurizio
Word embeddings or distributed representations of words are being used in various applications like machine translation, sentiment analysis, topic identification etc. Quality of word embeddings and performance of their applications depends on several
Externí odkaz:
http://arxiv.org/abs/2003.03264
This paper describes the solution of the POLINKS team to the RecSys Challenge 2019 that focuses on the task of predicting the last click-out in a session-based interaction. We propose an ensemble approach comprising a matrix factorization for modelin
Externí odkaz:
http://arxiv.org/abs/2002.03124
Linked Data principles have led to semantically interlink and connect different resourcesat data level regardless the structure, authoring, location etc. Data available on the Web using Linked Data has resulted in a global data space called the Web o
The public availability of collections containing user preferences is of vital importance for performing offline evaluations in the field of recommender systems. However, the number of rating datasets is limited because of the costs required for thei
Externí odkaz:
http://arxiv.org/abs/1909.00687
Autor:
Çano, Erion, Morisio, Maurizio
This work investigates the role of factors like training method, training corpus size and thematic relevance of texts in the performance of word embedding features on sentiment analysis of tweets, song lyrics, movie reviews and item reviews. We also
Externí odkaz:
http://arxiv.org/abs/1902.00753
Autor:
Çano, Erion, Morisio, Maurizio
Publikováno v:
Intelligent Data Analysis, vol. 21, no. 6, pp. 1487-1524, 2017
Recommender systems are software tools used to generate and provide suggestions for items and other entities to the users by exploiting various strategies. Hybrid recommender systems combine two or more recommendation strategies in different ways to
Externí odkaz:
http://arxiv.org/abs/1901.03888