Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services最新文献

A deep learning framework for book search 图书搜索的深度学习框架

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011195

Thi Thanh Sang Nguyen

引用次数: 2

Set of t-uples expansion by example t-元组的扩展

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011144

N. Er, T. Abdessalem, S. Bressan

引用次数: 2

Making personalized movie recommendations for children 为孩子们提供个性化的电影推荐

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011142

Eunice Tan, I. Seaman, Humphrey C. H. Leung, Yiu-Kai Ng

{"title":"Making personalized movie recommendations for children","authors":"Eunice Tan, I. Seaman, Humphrey C. H. Leung, Yiu-Kai Ng","doi":"10.1145/3011141.3011142","DOIUrl":"https://doi.org/10.1145/3011141.3011142","url":null,"abstract":"Multimedia have significant impact on the social and psychological development of children who are often explored to inappropriate materials, including movies that are either accessible online or through other multimedia channels. Even though not all movies are bad, there are negative effects of offensive languages, violence, and sexuality as exhibited in movies. Parents and guidance of children need all the help they can get to promote the healthy use of movies these days. To offer them appropriate movies of interest to their youths, we have developed MovReC, a personalized movie recommender for children, which is designed to provide educational and suitable entertaining opportunities for children. Unlike Amazon and other online movie recommendation systems, such as Common Sense Media, IMDb, and TasteKid, MovReC is unique, since to the best of our knowledge MovReC is the first personalized children movie recommender. Moreover, MovReC determines the appealingness of a movie for a particular user based on its children-appropriate score computed by using the Backpropagation model, pre-defined category using LDA, its predicted rating using Matrix Factorization, and sentiments based on its users' reviews, which along with its like/dislike count and genres, yield the features considered by MovReC. MovReC combines these features by using the CombMNZ model to rank and recommend movies. The performance evaluation of MovReC clearly demonstrates its effectiveness and its recommended movies are highly regarded by its users.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122798442","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

Web advertising recommender system based on estimating users' latent interests 基于用户潜在兴趣估计的网络广告推荐系统

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011180

Y. Yamaguchi, Mimpei Morishita, Y. Inagaki, Reyn Y. Nakamoto, Jianwei Zhang, Junichi Aoi, Shinsuke Nakajima

{"title":"Web advertising recommender system based on estimating users' latent interests","authors":"Y. Yamaguchi, Mimpei Morishita, Y. Inagaki, Reyn Y. Nakamoto, Jianwei Zhang, Junichi Aoi, Shinsuke Nakajima","doi":"10.1145/3011141.3011180","DOIUrl":"https://doi.org/10.1145/3011141.3011180","url":null,"abstract":"Web advertising is watched with interest as an advertising method employed by companies to introduce their products and services. Web advertising includes listing advertisement, which shows advertisements related to a search keyword, and interest-matching advertising, which shows advertisements relevant to a user's search content and browsing history. However, it is difficult to show effective Web advertising to potential purchasers using the technique based on conventional keyword matching. In this paper, we consider a recommender system for Web advertising based on analysis of the user's potential interests. In particular, we focus on a user model with potential interest for a certain website by analyzing browsing history. We introduce a Web advertising recommender system that is based not only based on keyword matching, but also on reported learning results. In addition, we argue the influence of the period for acquisition of the browsing history, which is taken when the users' model is learned.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122816186","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: 8

A new readability measure for web documents and its evaluation on an effective web search engine 一种新的网络文档可读性度量方法及其在一个有效的网络搜索引擎上的评价

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011172

Yume Sasaki, Takuya Komatsuda, Atsushi Keyaki, Jun Miyazaki

{"title":"A new readability measure for web documents and its evaluation on an effective web search engine","authors":"Yume Sasaki, Takuya Komatsuda, Atsushi Keyaki, Jun Miyazaki","doi":"10.1145/3011141.3011172","DOIUrl":"https://doi.org/10.1145/3011141.3011172","url":null,"abstract":"In this study, we propose a readability measure for Web documents and an information retrieval system that considers readability. Previous information retrieval systems aim to identify documents that are relevant to a given query; however, as information requirements of search system users becomes increasingly diverse and complicated, systems that take such new criteria into account are constantly being introduced. In particular, the focus of our present paper is on readability. Given that the population of non-native English speakers exceeds that of native English speakers, incorporating readability into an information retrieval system is crucial. Therefore, we propose (1) a readability measure that considers document simplicity and document structure as new features for readability and (2) a score fusion method that combines relevance and readability scores. In our experimental results, we found that our proposed readability measure outperformed an existing readability measure. Moreover, we found score fusion methods using a statistical framework called a copula improved overall accuracy as compared to such existing methods as linear combination.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116868790","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

An improved symbolic aggregate approximation distance measure based on its statistical features 一种改进的基于统计特征的符号聚集近似距离测度

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011146

Chaw Thet Zan, H. Yamana

引用次数: 35

Study of the optimal number of rating bars in the likert scale 李克特量表中最优评分条数的研究

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011213

M. Cai, Y. Lin, W. Zhang

引用次数: 7

Segen: generation of test cases for selenium and selendroid 生成selenium和selendoid的测试用例

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011154

Nelson Mariano Leite Neto, Patrícia Vilain, R. Mello

{"title":"Segen: generation of test cases for selenium and selendroid","authors":"Nelson Mariano Leite Neto, Patrícia Vilain, R. Mello","doi":"10.1145/3011141.3011154","DOIUrl":"https://doi.org/10.1145/3011141.3011154","url":null,"abstract":"Nowadays, with the rise of mobile devices, users deal with applications that present user interfaces adapted to different contexts of use. In order to improve the quality of these user interfaces, we propose a solution that includes a higher level description of tests and a tool, called Segen, for generating test cases for two very known test automation tools for Web and mobile environments: Selenium and Selendroid. Segen allows to generate test scripts from a single high-level description to executable tests scripts for each environment. On using Segen, testers can focus on the test cases, independently of the environment being used. A proof of concept was used to evaluate Segen: a smart home energy management that has a Web version and a mobile Android version. The evaluation showed that Segen reduces the work of testers and can be used along with other testing libraries. The evaluation also showed that Segen is more useful if test cases are designed before the development. However, it was identified that Segen has similar limitations to those that Selenium and Selendroid have.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126438533","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

Framework for the effective use of teaching videos 有效使用教学视频的框架

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011208

Sayaka Ikeda, S. Mizuno

引用次数: 1

Users' preferences for answer forms to reference questions in libraries 用户对图书馆中参考问题的回答形式的偏好

Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services Pub Date : 2016-11-28 DOI: 10.1145/3011141.3011168

Tomohiro Furusawa, Mamiko Matsubayashi, T. Satoh

{"title":"Users' preferences for answer forms to reference questions in libraries","authors":"Tomohiro Furusawa, Mamiko Matsubayashi, T. Satoh","doi":"10.1145/3011141.3011168","DOIUrl":"https://doi.org/10.1145/3011141.3011168","url":null,"abstract":"Reference service is one of the significant user support services in libraries, and in the service, the librarian provides appropriate information to a user's needs. Studies of a social question and answer (Q&A) site revealed preferences held by users for an answer in terms of subject relevance or prediction. In order to provide a higher quality service, we investigated users' preferences for answers given in libraries. To understand what users prefer for answers, we defined four \"answer forms\" from the perspectives of the \"amount of information\" and \"whether it includes any explanations of information resources or not.\" Respondents ranked four answers, which were developed from the answer forms in response to reference questions. The purpose was to discover their preferred way to be answered in the reference service. Results indicated that people prefer an answer, which provides multiple information resources and attached explanations of the resources, rather than an answer that only gives information resources without offering explanations. In addition, we found relationships between answer preferences and user attributes, such as age and frequency of library use.","PeriodicalId":247823,"journal":{"name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130082509","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: 0