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What Independent Game Developers Expect from Recommender Systems: A Qualitative Study 独立游戏开发者对推荐系统的期望:定性研究
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI: 10.1145/3366030.3366082
Marta Kholodylo, C. Strauss
{"title":"What Independent Game Developers Expect from Recommender Systems: A Qualitative Study","authors":"Marta Kholodylo, C. Strauss","doi":"10.1145/3366030.3366082","DOIUrl":"https://doi.org/10.1145/3366030.3366082","url":null,"abstract":"Digital distribution and electronic recommender systems have transformed the digital games industry. They serve as the enabler of new business models that allow independent game developers to publish their projects without the mediation of third party publishers and decrease costs of game production. This paper aims at analyzing the relevance of recommender systems from the perspective of independent game developers. For this reason, a qualitative study using semi-structured expert interviews has been carried out. The results of this study support (i) independent game developers to improve their business models, and (ii) designers and owners of electronic recommender systems to provide enhanced services for their content creators.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133436654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Mining Stock Price Changes for Profitable Trade Using Candlestick Chart Patterns 利用烛台图模式挖掘股票价格变化获利交易
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI: 10.1145/3366030.3366053
Yoshihisa Udagawa
{"title":"Mining Stock Price Changes for Profitable Trade Using Candlestick Chart Patterns","authors":"Yoshihisa Udagawa","doi":"10.1145/3366030.3366053","DOIUrl":"https://doi.org/10.1145/3366030.3366053","url":null,"abstract":"One major technical analysis of stock price fluctuation is the use of candlestick charts. This paper proposes a model with six parameters to retrieve similar candlestick patters to improve accuracy of stock price predictions. Because criteria that trigger reversing trade largely affect gains and losses, we examine two criteria; one based on sum of negative stock price changes and the other on sum of negative 5-day average differences. The proposed retrieval algorithm and criteria are evaluated through simulations in terms of gains and losses using NASDAQ's daily stock data. The results of simulations indicate that the proposed method leads to a trade decision that opportunities of successful stock trades are effectively above that of failure ones with several percentage of gains. Simulations also show that high risks deliver high returns. The results are examined statistically by the regression analysis suggesting the significant capabilities of the proposed method to predict stock price fluctuations.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116416512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
PLDSD PLDSD
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI: 10.1145/3366030.3366041
Gabriela Oliveira Mota da Silva, F. Durão, M. Capretz
{"title":"PLDSD","authors":"Gabriela Oliveira Mota da Silva, F. Durão, M. Capretz","doi":"10.1145/3366030.3366041","DOIUrl":"https://doi.org/10.1145/3366030.3366041","url":null,"abstract":"A vast amount of data that can be easily read by machines have been published in freely accessible and interconnected datasets, creating the so-called Linked Open Data cloud. This phenomenon has opened opportunities for the development of semantic applications, including recommender systems. In this paper, we propose Personalized Linked Data Semantic Distance (PLDSD), a novel similarity measure for linked data that personalizes the RDF graph by adding weights to the edges, based on previous user's choices. Thus, our approach has the purpose of minimizing the sparsity problem by ranking the best features for a particular user, and also, of solving the item cold-start problem, since the feature ranking task is based on features shared between old items and the new item. We evaluate PLDSD in the context of a LOD-based Recommender System using mixed data from DBpedia and MovieLens, and the experimental results indicate better accuracy of recommendations compared to a non-personalized baseline similarity method.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114482207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Your Body Signals Expose Your Fall 你的身体信号暴露了你的堕落
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI: 10.1145/3366030.3366119
E. Fu, Cheuk Yin Wong, K. T. Lau, H. Leong, G. Ngai
{"title":"Your Body Signals Expose Your Fall","authors":"E. Fu, Cheuk Yin Wong, K. T. Lau, H. Leong, G. Ngai","doi":"10.1145/3366030.3366119","DOIUrl":"https://doi.org/10.1145/3366030.3366119","url":null,"abstract":"Fall is a common cause of severe injuries that may lead to irreversible body damage and even death. A real-time fall monitoring system can reveal a fall in time for timely medical aid to a victim. This is particularly important in the context of mobile healthcare. Fall detection with most contemporary wearable devices relied solely on acceleration signals, often not flexible and robust enough. In this paper, we propose to deploy body signals in a multi-modality approach. Besides the common acceleration signals, we also make use of physiological signals returned by wearable devices for multiple modalities. Fall detection would not fail easily even if some acceleration signals become ineffective. Our experiment results indicate that we are able to attain an accuracy of more than 96%. An in-depth evaluation demonstrates that physiological signals can contribute in distinguishing falls from actions generating similar acceleration signals, such as jumps, sit-downs and walking-downstairs.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"279 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122540281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Secure Naïve Bayes Classification Protocol over Encrypted Data Using Fully Homomorphic Encryption 安全Naïve贝叶斯分类协议加密数据使用完全同态加密
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI: 10.1145/3366030.3366056
Yoshiko Yasumura, Yu Ishimaki, H. Yamana
{"title":"Secure Naïve Bayes Classification Protocol over Encrypted Data Using Fully Homomorphic Encryption","authors":"Yoshiko Yasumura, Yu Ishimaki, H. Yamana","doi":"10.1145/3366030.3366056","DOIUrl":"https://doi.org/10.1145/3366030.3366056","url":null,"abstract":"Machine learning classification has a wide range of applications. In the big data era, a client may want to outsource classification tasks to reduce the computational burden at the client. Meanwhile, an entity may want to provide a classification model and classification services to such clients. However, applications such as medical diagnosis require sensitive data that both parties may not want to reveal. Fully homomorphic encryption (FHE) enables secure computation over encrypted data without decryption. By applying FHE, classification can be outsourced to a cloud without revealing any data. However, existing studies on classification over FHE do not achieve the scenario of outsourcing classification to a cloud while preserving the privacy of the classification model, client's data and result. In this work, we apply FHE to a naïve Bayes classifier and, to the best of our knowledge, propose the first concrete secure classification protocol that satisfies the above scenario.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116000430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Effects of Mining Parameters on the Performance of the Sequence Pattern Variants Analyzing Method Applied to Electronic Medical Record Systems 挖掘参数对电子病历系统序列模式变异分析方法性能的影响
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI: 10.1145/3366030.3366074
Hieu Hanh Le, Tatsuhiro Yamada, Yuichi Honda, Masaaki Kayahara, M. Kushima, K. Araki, H. Yokota
{"title":"Effects of Mining Parameters on the Performance of the Sequence Pattern Variants Analyzing Method Applied to Electronic Medical Record Systems","authors":"Hieu Hanh Le, Tatsuhiro Yamada, Yuichi Honda, Masaaki Kayahara, M. Kushima, K. Araki, H. Yokota","doi":"10.1145/3366030.3366074","DOIUrl":"https://doi.org/10.1145/3366030.3366074","url":null,"abstract":"Sequential pattern mining (SPM) is widely used for data mining and knowledge discovery in various application domains. Recently, we have proposed an analyzing method to evaluate the sequence pattern variant (SPV) that is the original sequence containing frequent patterns including variants. Such a study is meaningful for medical tasks such as improving the quality of a disease's treatment method. This paper aims to evaluate the effectiveness of the proposed analyzing method in more detail when it was applied to Electronic Medical Record Systems. Using a real dataset, it is observed that the analyzing method is successful in statistically discovering the meaningful indicators that are leading to the difference between comparative SPVs, such as complicated risk, severity risk of the disease, the length of stay in the hospital and the total medical cost. Moreover, it is observed that the length of stay and the medical cost can gain more benefit from increasing the significance level parameter used in comparing the SPVs.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129568736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Events Insights Extraction from Twitter Using LDA and Day-Hashtag Pooling 使用LDA和日标签池从Twitter中提取事件洞察
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI: 10.1145/3366030.3366090
Muhammad Haseeb U. R. Rehman Khan, Kei Wakabayashi, Satoshi Fukuyama
{"title":"Events Insights Extraction from Twitter Using LDA and Day-Hashtag Pooling","authors":"Muhammad Haseeb U. R. Rehman Khan, Kei Wakabayashi, Satoshi Fukuyama","doi":"10.1145/3366030.3366090","DOIUrl":"https://doi.org/10.1145/3366030.3366090","url":null,"abstract":"News extraction from Twitter data is a hot topic. But can we extract much more than just news? The purpose of this research is to find, either news is the only information which can be extracted from Twitter data or it contains much more insights about real life events. So, we introduce a technique for analysis of Twitter's raw content. After pre-processing of tweets data, we apply hashtag pooling and extract topics using available topic modeling algorithm Latent Dirichlet Allocation (LDA) without modifying its core machinery. In the second part, estimated number of tweets per day and correlated top hashtags for each topic are calculated using day-hashtag pooling. Finally, the continues time series graph is constructed for topic analysis. Our findings show interesting results of bursty news detection, topic popularity, people's way to perceiving an event, real-life event's transition over time and before & after affects of a specific event.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126704266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Method for Computing Emotions of Tweets with an Emoticon 使用Emoticon计算tweet情绪的方法
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI: 10.1145/3366030.3366071
Chengzhi Jiang, T. Kumamoto
{"title":"Method for Computing Emotions of Tweets with an Emoticon","authors":"Chengzhi Jiang, T. Kumamoto","doi":"10.1145/3366030.3366071","DOIUrl":"https://doi.org/10.1145/3366030.3366071","url":null,"abstract":"In text-based message exchange services, non-verbal expressions, such as emoticons, are typically used. However, their usage is intuitive, and many questions persist as to how emoticons affect the emotional aspect of messages. Therefore, we formulate the effect of emoticons on emotions of tweets with an emoticon and propose a method for computing emotion values of tweets with an emoticon. Initially, emotion values of emoticons and those of tweets with an emoticon are determined based on results of questionnaires. Subsequently, emotion values of tweets are calculated via two sentiment analysis tools. We then apply multiple regression analysis to the three types of emotion values, and thus we obtain multiple regression equations to compute emotion values of tweets with an emoticon. Our performance evaluation indicates that the proposed method is effective in terms of computing values of the following nine emotions: \"Sorrow,\" \"Disgust,\" \"Relief,\" \"Fear,\" \"Liking,\" \"Joy,\" \"Surprise,\" \"Anger,\" and \"Shame.\"","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127417943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Target-Topic Aware Doc2Vec for Short Sentence Retrieval from User Generated Content 基于目标主题感知的用户生成内容短句检索Doc2Vec
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI: 10.1145/3366030.3366126
Kosuke Kurihara, Yoshiyuki Shoji, Sumio Fujita, M. Dürst
{"title":"Target-Topic Aware Doc2Vec for Short Sentence Retrieval from User Generated Content","authors":"Kosuke Kurihara, Yoshiyuki Shoji, Sumio Fujita, M. Dürst","doi":"10.1145/3366030.3366126","DOIUrl":"https://doi.org/10.1145/3366030.3366126","url":null,"abstract":"This paper proposes a new method of supplementing the context of short sentences for the training phase of Doc2Vec. Since CGM (Consumer Generated Media) sites and SNS sites become widespread, the importance of similarity calculation between a given query and a short sentence is increasing. As an example, a search by the query \"sad\" should find actual expressions such as \"I needed a handkerchief\" on a movie review site. Doc2Vec is one of the most widely used methods for vectorization of queries and sentences. However, Doc2Vec often exhibits low accuracy if the training data consists of short sentences, because they lack context. We modified Doc2Vec with the hypothesis that other posts for the same topic (i.e. reviews for the same movie in online movie review sites) may share the same background. Our method uses target-topic IDs instead of sentence IDs as the context in the training phase of the Doc2Vec with the PV-DM model; this model estimates the next term from a few previous terms and context. The model trained with item IDs vectorizes a sentence more accurately than a model trained with sentence IDs. We conducted a large-scale experiment using 1.2 million movie review posts and a crowdsourcing-based evaluation. The experimental result demonstrates that our new method achieves higher precision and nDCG than previous Doc2Vec variants and traditional topic modeling methods.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128195105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Study of machine learning methods for customer churn prediction in telecommunication company 电信企业客户流失预测的机器学习方法研究
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI: 10.1145/3366030.3366109
Anna Śniegula, A. Poniszewska-Marańda, M. Popović
{"title":"Study of machine learning methods for customer churn prediction in telecommunication company","authors":"Anna Śniegula, A. Poniszewska-Marańda, M. Popović","doi":"10.1145/3366030.3366109","DOIUrl":"https://doi.org/10.1145/3366030.3366109","url":null,"abstract":"The paper presents the results of investigation which machine learning techniques are most suited for customer churn prediction. Different approaches were compared, starting from the simple K-means method, through decision trees, ending with the artificial neural network. The authors trained the models with each method and predicted whether a customer is going to leave the current telecommunication company.","PeriodicalId":446280,"journal":{"name":"Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131256876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
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