| Presentation | 2023-01-22 Comparing Neural Network-Driven Algorithms that Determine Interest Similarity for People-to-people Recommendations Ana Quelhas, Natsuki Oka, Kazuaki Tanaka, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With evolving globalization and interpersonal relationships being forged over digital mediums more and more often, the need for reliable people-to-people recommendations increases. The present study aims to evaluate a matchmaking system for friendship recommendation, with the purpose of achieving a reliable result on low quantities of data. Participants were asked to provide information about themselves and their interests, and rate other participants positively or negatively on whether or not they were interested in seeking a friendship with them, based on a summary of their interests and personal information. Their interests were represented as word embeddings and their similarity was determined by various machine learning algorithms, e.g., neural networks. This paper investigated the validity of those algorithms for friendship recommendation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Word embeddingMatchmakingNeural networksSimilarity |
| Paper # | HCS2022-67 |
| Date of Issue | 2023-01-14 (HCS) |
| Conference Information | |
| Committee | HCS |
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| Conference Date | 2023/1/21(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Physical Communication, etc. |
| Chair | Tomoko Kanda(Osaka Inst. of Tech.) |
| Vice Chair | Yugo Hayashi(Ritsumeikan Univ.) / Masashi Komori(Osaka Electro-Comm. Univ.) |
| Secretary | Yugo Hayashi(Nihon Univ.) / Masashi Komori(Kanagawa Univ.) |
| Assistant | HUANG HUNGHSUAN(Univ. of Fukuchiyama) / Jun Ichikawa(Shizuoka Univ.) / Kazuki Takashima(Tohoku Univ.) / Hiroto Saito(Tokyo Denki Univ.) / Ryo Ishii(NTT) / Yoshimasa Ohmoto(Shizuoka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Human Communication Science |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparing Neural Network-Driven Algorithms that Determine Interest Similarity for People-to-people Recommendations |
| Sub Title (in English) | |
| Keyword(1) | Word embeddingMatchmakingNeural networksSimilarity |
| 1st Author's Name | Ana Quelhas |
| 1st Author's Affiliation | Kyoto Institute of Technology(KIT) |
| 2nd Author's Name | Natsuki Oka |
| 2nd Author's Affiliation | Miyazaki Sangyo-Keiei University(MSU) |
| 3rd Author's Name | Kazuaki Tanaka |
| 3rd Author's Affiliation | Kyoto Institute of Technology(KIT) |
| Date | 2023-01-22 |
| Paper # | HCS2022-67 |
| Volume (vol) | vol.122 |
| Number (no) | HCS-349 |
| Page | pp.pp.71-76(HCS), |
| #Pages | 6 |
| Date of Issue | 2023-01-14 (HCS) |