International Workshop on Innovations in Information and Communication Science and Technology最新文献

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Assessing Customer Needs Based On Online Reviews: A Topic Modeling Approach 基于在线评论的客户需求评估:主题建模方法

International Workshop on Innovations in Information and Communication Science and Technology Pub Date : 2020-03-09 DOI: 10.5167/UZH-188603

Thariq M. Jauhari, Soomin Kim, Máté Kovács, U. Serdült, V. Kryssanov

{"title":"Assessing Customer Needs Based On Online Reviews: A Topic Modeling Approach","authors":"Thariq M. Jauhari, Soomin Kim, Máté Kovács, U. Serdült, V. Kryssanov","doi":"10.5167/UZH-188603","DOIUrl":"https://doi.org/10.5167/UZH-188603","url":null,"abstract":"The fashion industry is one of the most exposed to new online trends manifesting themselves on the internet. Whereas fashion consumers used to get inspired from their preferred brand or print magazine to buy clothes, today, they are rather influenced by social media and online reviews. Online shoppers look for clothes on their own, basing their choices on individual preferences and values. In other words, consumers have become more focused on \"indirect experiences\" and \"exploration\" rather than buying products from specific brands in the store. Furthermore, consumers want to know more about the products, and the fashion market demands greater transparency. From online reviews and ratings, consumers can gather a variety of helpful subjective information from each other. This research is conducted by looking at online product review data from Amazon, one of the leading online shopping websites worldwide, to reveal the hidden topics that are available within the review texts. To do this, topic modeling is applied to the data to explore customer preferences and consumption trends. The results show that the online reviews used in this study can be grouped into four general topics discussed online: Accessories, Outfit, Quality, and Appearance. With this information available, it would benefit and improve fashion businesses in account for product development.","PeriodicalId":405000,"journal":{"name":"International Workshop on Innovations in Information and Communication Science and Technology","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128861237","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

Discovering Tourism Topics From Social Media: A Case Study of Japan 从社交媒体中发现旅游话题:以日本为例

International Workshop on Innovations in Information and Communication Science and Technology Pub Date : 2020-03-09 DOI: 10.5167/UZH-188604

Valentinus Roby Hananto, U. Serdült, V. Kryssanov

引用次数: 2

Monitoring Road Surface Conditions with Cyclist's Smartphone Sensors 用自行车手的智能手机传感器监测路面状况

International Workshop on Innovations in Information and Communication Science and Technology Pub Date : 2020-03-09 DOI: 10.5167/UZH-188605

B. Setiawan, V. Kryssanov, U. Serdült

{"title":"Monitoring Road Surface Conditions with Cyclist's Smartphone Sensors","authors":"B. Setiawan, V. Kryssanov, U. Serdült","doi":"10.5167/UZH-188605","DOIUrl":"https://doi.org/10.5167/UZH-188605","url":null,"abstract":"Road networks form one of the most important infrastructures in modern cities, while road conditions determine the very possibility and quality of land transportation. It is therefore important to monitor and manage road networks properly. The vast area that should be monitored and managed makes this task both expensive and timeconsuming. Recently, an approach to involve road users, such as car drivers, pedestrians, and cyclists, to participate in monitoring road conditions has emerged. Monitoring roads using bicycles has an advantage, compared to using a car, since it allows for reaching narrow roads. This paper presents results of a preliminary study of using a bicycle for detecting road surface defects including potholes, and bumps. Data collected with a cyclist’s smartphone sensors was used to train artificial neural networks in different configurations. The trained networks were then used to detect road surface defects. Results obtained in the experiments indicate that for the accelerometer data, a convolutional neural network provides for the best average accuracy in classifying road surface conditions. Also, this and a long short term memory network produce better results than a standard deep neural network.","PeriodicalId":405000,"journal":{"name":"International Workshop on Innovations in Information and Communication Science and Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115007096","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