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"personal" } }, { "person_or_org": { "family_name": "Fabrizio Silvestri", "name": "Fabrizio Silvestri", "type": "personal" } } ], "description": "

In this paper, we tackle the problem of predicting the “next” geographical position of a tourist given her history (i.e., the prediction is done accordingly to the tourist’s current trail) by means of supervised learning techniques, namely Gradi- ent Boosted Regression Trees and Ranking SVM. The learn- ing is done on the basis of an object space represented by a 68 dimension feature vector, specifically designed for tourism related data. Furthermore, we propose a thorough compari- son of several methods that are considered state-of-the-art in touristic recommender and trail prediction systems as well as a strong popularity baseline. Experiments show that the methods we propose outperform important competitors and baselines thus providing strong evidence of the performance of our solutions.

", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2013-10-27", "publisher": "Zenodo", "resource_type": { "id": "publication-conferencepaper", "title": { "de": "Konferenzbeitrag", "en": "Conference paper" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "title": "LearNext: Learning to Predict Tourists Movements", "version": "postprint" }, "parent": { "access": { "owned_by": { "user": "48653" } }, "communities": {}, "id": "8139071", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.8139071", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.8139072", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:8139072", "provider": "oai" } }, "revision_id": 5, "stats": { "all_versions": { "data_volume": 17931078.0, "downloads": 66, "unique_downloads": 66, "unique_views": 62, "views": 63 }, "this_version": { "data_volume": 17931078.0, "downloads": 66, "unique_downloads": 66, "unique_views": 62, "views": 63 } }, "status": "published", "swh": {}, "updated": "2024-07-11T17:56:34.125744+00:00", "versions": { "index": 1, "is_latest": true } }