Enhancing a Hybrid Collaborative Filtering Recommender by Exploiting
Approximate Top-k Binary Patterns

dc.contributor.advisor	Orlando, Salvatore	it_IT
dc.contributor.author	Furlan, Andrea <1994>	it_IT
dc.date.accessioned	2021-04-12	it_IT
dc.date.accessioned	2021-07-21T08:05:09Z
dc.date.available	2021-07-21T08:05:09Z
dc.date.issued	2021-04-27	it_IT
dc.identifier.uri	http://hdl.handle.net/10579/19262
dc.description.abstract	An innovative Hybrid Model and Memory-Based CF Algorithm	it_IT
dc.language.iso	en	it_IT
dc.publisher	Università Ca' Foscari Venezia	it_IT
dc.rights	© Andrea Furlan, 2021	it_IT
dc.title	Enhancing a Hybrid Collaborative Filtering Recommender by Exploiting Approximate Top-k Binary Patterns	it_IT
dc.title.alternative	Enhancing a Hybrid Collaborative Filtering Recommender by Exploiting Approximate Top-k Binary Patterns	it_IT
dc.type	Master's Degree Thesis	it_IT
dc.degree.name	Informatica - computer science	it_IT
dc.degree.level	Laurea magistrale	it_IT
dc.degree.grantor	Dipartimento di Scienze Ambientali, Informatica e Statistica	it_IT
dc.description.academicyear	2019-2020, sessione straordinaria LM	it_IT
dc.rights.accessrights	openAccess	it_IT
dc.thesis.matricno	877704	it_IT
dc.subject.miur	INF/01 INFORMATICA	it_IT
dc.description.note		it_IT
dc.degree.discipline		it_IT
dc.contributor.co-advisor		it_IT
dc.date.embargoend		it_IT
dc.provenance.upload	Andrea Furlan (877704@stud.unive.it), 2021-04-12	it_IT
dc.provenance.plagiarycheck	Salvatore Orlando (orlando@unive.it), 2021-04-26	it_IT