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Study on Ranking Prediction in an Application Store Using the Deep Learning
Bibliographic Information
- Other Title
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- Deep Learningを用いたアプリストアランキングの予測に関する研究
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Description
Feature of social media has a function to spread the information to the wide range of networks by Retweet and share. Recently, a word of mouth in social media is the spreading effect and importance of utilization. In addition, Deep Learning is used mainly in the field of speech and image recognition. In this study, we focused on the relation and correlation between the number of tweets on Twitter and ranking of application store on iTunes App Store. We was analysis and verification of the possibility of predicting fluctuation the App Store from time zone and fluctuation number of tweets by using the Deep Learning.
Journal
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- IPSJ SIG Notes
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IPSJ SIG Notes 2014 (3), 1-6, 2014-12-01
Information Processing Society of Japan (IPSJ)
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Details 詳細情報について
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- CRID
- 1572543027714477056
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- NII Article ID
- 110009881282
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- NII Book ID
- AA11253943
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- Text Lang
- ja
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- Data Source
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- CiNii Articles