Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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| URI | http://purl.tuc.gr/dl/dias/4EF9BEF7-343B-48DB-9EEA-B99A90AB3B7D | - |
| Αναγνωριστικό | https://link.springer.com/article/10.1186/s13673-018-0160-7 | - |
| Αναγνωριστικό | https://doi.org/10.1186/s13673-018-0160-7 | - |
| Γλώσσα | en | - |
| Μέγεθος | 17 pages | en |
| Τίτλος | Improved user similarity computation for finding friends in your location | en |
| Δημιουργός | Tsakalakis Georgios | en |
| Δημιουργός | Τσακαλακης Γεωργιος | el |
| Δημιουργός | Koutsakis Polychronis | en |
| Δημιουργός | Κουτσακης Πολυχρονης | el |
| Εκδότης | Springer Nature [academic journals on nature.com] | en |
| Περίληψη | Recommender systems are most often used to predict possible ratings that a user would assign to items, in order to find and propose items of possible interest to each user. In our work, we are interested in a system that will analyze user preferences in order to find and connect people with common interests that happen to be in the same geographical area, i.e., a “friend” recommendation system. We present and propose an algorithm, Egosimilar+, which is shown to achieve superior performance against a number of well-known similarity computation methods from the literature. The algorithm adapts ideas and techniques from the recommender systems literature and the skyline queries literature and combines them with our own ideas on the importance and utilization of item popularity. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2019-05-23 | - |
| Ημερομηνία Δημοσίευσης | 2018 | - |
| Θεματική Κατηγορία | Recommender systems | en |
| Θεματική Κατηγορία | Similarity | en |
| Θεματική Κατηγορία | Common interests | en |
| Θεματική Κατηγορία | Algorithm | en |
| Θεματική Κατηγορία | Egosimilar+ | en |
| Βιβλιογραφική Αναφορά | G. Tsakalakis and P. Koutsakis, "Improved user similarity computation for finding friends in your location," Hum. Cent. Comput. Inf. Sci., vol. 8, no. 1, Dec. 2018. doi: 10.1186/s13673-018-0160-7 | en |
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