| Presentation | 2021-12-17 Evaluating Prediction of the Access Counts of Videos Using Metadata as a Learning Parameter Gen Koujitani, Masaya Nakayama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to predict the number of accesses to videos posted on video sharing services, we performed regression prediction using a multilayer perceptron using metadata based on several factors that are thought to influence the number of accesses. In this study, we used metadata such as tags and titles as explanatory variables to predict the number of accesses to a video without preprocessing such as clustering. The accuracy of the regression prediction was compared between the conditions of the proposed method and the conditions of a pseudo-reproduction of the previous study's method, which required clustering, and it was confirmed that the conditions of the proposed method were superior to those of the previous study regardless of whether clustering was used or not. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | neural network / regression prediction / multilayer perceptron / video-sharing service / Nico Nico Douga |
| Paper # | IA2021-47 |
| Date of Issue | 2021-12-09 (IA) |
| Conference Information | |
| Committee | IN / IA |
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| Conference Date | 2021/12/16(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Higashi-Senda campus, Hiroshima Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. |
| Chair | Kenji Ishida(Hiroshima City Univ.) / Tomoki Yoshihisa(Osaka Univ.) |
| Vice Chair | Kunio Hato(Internet Multifeed) / Toru Kondo(Hiroshima Univ.) / Yuichiro Hei(KDDI Research) / Hiroshi Yamamoto(Ritsumeikan Univ.) |
| Secretary | Kunio Hato(NTT) / Toru Kondo(Univ. of Nagasaki) / Yuichiro Hei(Nagaoka Univ. of Tech.) / Hiroshi Yamamoto(KDDI Research) |
| Assistant | / Daisuke Kotani(Kyoto Univ.) / Ryo Nakamurai(Fukuoka Univ.) / Daiki Nobayashi(Kyushu Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Information Networks / Technical Committee on Internet Architecture |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluating Prediction of the Access Counts of Videos Using Metadata as a Learning Parameter |
| Sub Title (in English) | |
| Keyword(1) | neural network |
| Keyword(2) | regression prediction |
| Keyword(3) | multilayer perceptron |
| Keyword(4) | video-sharing service |
| Keyword(5) | Nico Nico Douga |
| 1st Author's Name | Gen Koujitani |
| 1st Author's Affiliation | The University of Tokyo(Univ. Tokyo) |
| 2nd Author's Name | Masaya Nakayama |
| 2nd Author's Affiliation | The University of Tokyo(Univ. Tokyo) |
| Date | 2021-12-17 |
| Paper # | IA2021-47 |
| Volume (vol) | vol.121 |
| Number (no) | IA-300 |
| Page | pp.pp.77-84(IA), |
| #Pages | 8 |
| Date of Issue | 2021-12-09 (IA) |