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--- abstract: "Matrix Factorization techniques have been successfully applied to raise the quality of suggestions generated\r\nby Collaborative Filtering Systems (CFSs). Traditional CFSs\r\nbased on Matrix Factorization operate on the ratings provided\r\nby users and have been recently extended to incorporate\r\ndemographic aspects such as age and gender. In this paper we\r\npropose to merge CF techniques based on Matrix Factorization\r\nand information regarding social friendships in order to\r\nprovide users with more accurate suggestions and rankings\r\non items of their interest. The proposed approach has been\r\nevaluated on a real-life online social network; the experimental\r\nresults show an improvement against existing CF approaches.\r\nA detailed comparison with related literature is also present" altloc: [] chapter: ~ commentary: ~ commref: ~ confdates: ~ conference: "ISDA '11: 11th International Conference on Intelligent Systems Design and Applications" confloc: ~ contact_email: ~ creators_id: [] creators_name: - family: De Meo given: Pasquale honourific: '' lineage: '' - family: Ferrara given: Emilio honourific: '' lineage: '' - family: Fiumara given: Giacomo honourific: '' lineage: '' - family: Provetti given: Alessandro honourific: '' lineage: '' date: 2011 date_type: published datestamp: 2011-10-01 00:34:40 department: ~ dir: disk0/00/00/76/51 edit_lock_since: ~ edit_lock_until: 0 edit_lock_user: ~ editors_id: [] editors_name: [] eprint_status: archive eprintid: 7651 fileinfo: application/pdf;http://cogprints.org/7651/1/isda2011%2Drec%2Dsys.pdf full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: pub issn: ~ item_issues_comment: [] item_issues_count: ~ item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: ~ lastmod: 2011-10-01 00:34:40 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: ~ pagerange: ~ pubdom: TRUE publication: ~ publisher: ~ refereed: TRUE referencetext: ~ relation_type: [] relation_uri: [] reportno: ~ rev_number: 10 series: ~ source: ~ status_changed: 2011-10-01 00:34:40 subjects: - comp-sci-art-intel succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: Improving Recommendation Quality by Merging Collaborative Filtering and Social Relationships type: confpaper userid: 14714 volume: ~