Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web最新文献_第5页

ArtistRank: an Analysis for the Brazilian Phonographic Scenario ArtistRank:对巴西唱片业的分析

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3126872

Felipe Lopes de Melo Faria, D. M. B. Paiva, Álvaro R. Pereira

引用次数: 0

EXEHDA-RR: Machine Learning and MCDA with Semantic Web in IoT Resources Classification EXEHDA-RR:机器学习和MCDA与语义网在物联网资源分类中的应用

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3126880

Renato Dilli, Huberto Kaiser Filho, A. Pernas, A. Yamin

引用次数: 3

Using Implicit Feedback for Neighbors Selection: Alleviating the Sparsity Problem in Collaborative Recommendation Systems 使用隐式反馈进行邻居选择:缓解协同推荐系统中的稀疏性问题

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3126896

Bruno Bandeira Fernandes, Juarez A. P. Sacenti, Roberto Willrich

{"title":"Using Implicit Feedback for Neighbors Selection: Alleviating the Sparsity Problem in Collaborative Recommendation Systems","authors":"Bruno Bandeira Fernandes, Juarez A. P. Sacenti, Roberto Willrich","doi":"10.1145/3126858.3126896","DOIUrl":"https://doi.org/10.1145/3126858.3126896","url":null,"abstract":"The most popular Recommender systems (RSs) employ Collaborative Filtering (CF) algorithms where users explicitly rate items. Based on these ratings, a user-item rating matrix is generated and used to select the items to be recommended for a target user. An important step in this process is to determine the neighborhood of a target user, i.e. a set of users who rate items similarly to this user. One of the limitations of CF is precisely the need of rating data provided voluntarily by users. The lack of interest of users to provide this kind of information increases the sparsity problem of the ratings matrix. In this paper, we propose the use of implicit feedback for neighbors selection to alleviate the sparsity problem in CF-based RSs. In this proposal, user profiles are built based on the characteristics of items that have been accessed or purchased, and not necessarily rated by the users. This user profile is used exclusively to the neighborhoods formation, which considers not how they have rated items, but by the characteristics of the items that they have accessed or purchased. Our technique was implemented with Apache Mahout Framework and evaluated across experiments in the domain of movies by using a dataset from Movielens project. The results demonstrated that our technique produces better quality recommendations when compared to the classic CF mainly in presence of sparsity of rating data.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124620058","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: 6

getOA 1.2: A Semantic Search Tool for Learning Objects in Repositories with Portuguese Language Support getOA 1.2:支持葡萄牙语的知识库中学习对象的语义搜索工具

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3131589

J. P. Silva, I. Silveira

引用次数: 0

A Visual Approach for the Definition of Behavior in Environments for Internet of Things 物联网环境中行为定义的可视化方法

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3126867

Namedin Junior, E. Souto, Wesllen Sousa, R. Nascimento, R. Aschoff

引用次数: 0

Profiling Successful Team Behaviors in League of Legends 分析《英雄联盟》中的成功团队行为

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3126886

Fernando Felix do Nascimento Junior, A. S. C. Melo, Igor Barbosa da Costa, L. Marinho

{"title":"Profiling Successful Team Behaviors in League of Legends","authors":"Fernando Felix do Nascimento Junior, A. S. C. Melo, Igor Barbosa da Costa, L. Marinho","doi":"10.1145/3126858.3126886","DOIUrl":"https://doi.org/10.1145/3126858.3126886","url":null,"abstract":"Despite the increasing popularity of electronic sports (eSports), there is still a scarcity of academic works exploring the playing behavior of teams. Understanding the features that help to discriminate between successful and unsuccessful teams would help teams improving their strategies, such as determine performance metrics to reach. In this paper, we identify and characterize team behavior patterns based on historical matches from the very popular eSpor League of Legends web API. By applying machine learning and statistical analysis, we clustered teams' performance and investigate for each cluster how and to what extent these features have an influence on teams' success and failure. Some clusters are more likely to have winning teams than others, the results of our study helped to discover the characteristics that are associated with this predisposition and allowed us to model performance metrics of successful and unsuccessful team profiles. At all, we found 7 profiles in which were categorized into four levels in terms of winning team proportion: very low, moderate, high and very high.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128101356","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: 23

Characterizing User Behavior in a Music Navigation Application with Real-time Feedback 用实时反馈描述音乐导航应用程序中的用户行为

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3126875

Bruno Guilherme Gomes, Pedro Holanda, Luciana Fujii Pontelho, Ana Paula Couto da Silva, Olga Goussevskaia

{"title":"Characterizing User Behavior in a Music Navigation Application with Real-time Feedback","authors":"Bruno Guilherme Gomes, Pedro Holanda, Luciana Fujii Pontelho, Ana Paula Couto da Silva, Olga Goussevskaia","doi":"10.1145/3126858.3126875","DOIUrl":"https://doi.org/10.1145/3126858.3126875","url":null,"abstract":"In a previous work, we proposed a direction-based navigation framework for large media collections. We implemented Mixtape (www.projectmixtape.org), a web application with a simple interface that allows users to navigate in a large music collection using online feedback and a geometric similarity space. In this work, we analyze user-generated data during an experiment on Mixtape. We collected all user actions on Mixtape over a course of two weeks, resulting in the participation of 800 users, generating a total of over 2 000 navigation sessions. We analyzed the trajectories that users followed within the music similarity space, and collected implicit and explicit feedback about user satisfaction. In particular, we compared geometric relationships, such as distance and direction similarity, between consecutive songs within individual and between different navigation trajectories. The navigation technique called Vector, which uses the concept of directions in this space of similarities, was able to keep the analyzed users for a longer time in the application. This may indicate a preference among users for navigating in their songs using the concept of directions.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115713535","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

Understanding Mobile Application Usage During the 2014 FIFA World Cup 了解2014年世界杯期间移动应用程序的使用情况

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3131603

A. C. Domingues, Fabrício A. Silva, T. R. Silva, Luis G. A. Diniz

引用次数: 0

MulSeMaker: An MDD Tool for MulSeMedia Web Application Development MulSeMaker:用于多媒体Web应用程序开发的MDD工具

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3126883

Marcelo Fernandes de Sousa, C. Ferraz, R. Kulesza, Italo Ayres, Matheus Lima

引用次数: 7

Enabling Full Interaction with the Android System and Applications through Speech Recognition 通过语音识别实现与Android系统和应用程序的完全交互

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3131581

Emerson Barbosa da Cunha, D. D. C. D. Silva, C. R. Vasconcelos

引用次数: 0