Cleyton Caetano de Souza

Predicting potential responders in twitter: a query routing algorithm

A phenomenon not so recent is the substantial increase in popularity and use of online social networks. With that has emerged a new way to find information online: the social query, which consists of posting a question in a social network and wait for responses from close friends. Usually, a question is posted to be visible to everyone, but we believe that this is not the best way: there will be the possibility of receiving several responses (including wrong), keep receiving answers where there is no need, do not receive answers, etc. The query router problem consists of finding the most able individual in the personal social network of the questioner. This work presents an algorithm to Routing Questions in Twitter. The model was validated through its predict capacity and the results shows that its recommendations match in half cases only when combined with a technique to enrich the information present in the question.

Enhancing the Status Message Question Asking Process on Facebook

People have been using Social Networks to search for help by broadcasting messages that reflect their information needs. However, several factors, usually not considered by the user, influence the outcome of receiving or not an answer. In this work, we aim to increase the users’ chances of finding someone who could help them. For this purpose, we propose a mobile app called Social Query, which guides the users through some steps before they share the problem with their friends. As far as we know, this is the first work to merge these three aspects of the social search: Question Rephrasing, Expert Search Filtering and Expertise Finding. To evaluate our proposal, we ran a questionnaire in which users considered Useful most functions of the app.

Routing Questions in Twitter: An Effective Way to Qualify Peer Helpers

Essentially social query consists in sharing a question on a social network and waiting for responses. The usual strategy of sharing a public question is inefficient because it does not ensure an answer, either quality or agility. We assume that directing the question to a specific user is the best way to get a right and quick answer. However, choosing this person could be a hard task and by choosing a wrong one we could receive an incorrect answer or the person might just ignore the question. In this paper, we proposed, implemented and evaluated a model based on a multi-criteria approach to find the most suitable user to receive a question on Twitter. We rank expert candidates using the Weight Product Model. One of the main differentials of our model is the use of multi-criteria and that it was built for a social network context. In the evaluation, using as metrics the Normalized Discounted Cumulative Gain and the Spearman Rank Correlation Coefficient, our technique achieved promising results in predicting the usefulness of real responders answer.

Using CQA History to Improve Q&A Experience

Social query is the practice of sharing questions through collaborative environments. In order to receive help, askers usually broadcast their request to the entire community. However, the prerequisite to receive help is to have the problem noticed by someone able and available to answer. Some works found a correlation between the characteristics of the questions and the outcome of receiving or not an answer. These findings suggest that there are some characteristics that are more likely to attract the attention of helpers. Our proposal is to analyse CQA history to identify the similar characteristics of previously asked questions that were answered. We believe that adding these characteristics in new questions will impact the receiving of answers. We evaluate our proposal using real world data and a real world experiment. Our results indicate that including “good characteristics” in the question reduce time for first response and improve answer quality.

A Meta-Information Extractor for Interrogative Sentences

The development of tools for Information Retrieval Systems or Expertise Finding Systems has a common task: the understanding of the information need. Since the information need is usually expressed through natural language, the computational processing of the information need involves several NLP techniques. Fortunately, there is a vast set of tools for English, but others languages have been marginalized. Thus, in this paper, we present a Web Service that offers to clients NLP treatment for interrogative sentences written in Brazilian Portuguese. The Web Service receives the question as input e returns its meta-information. The main differential of our proposal is that we offer a full analysis of the question text using a single function. We evaluate a feature of the Web Service named Category labeler, responsible for automatic discover the subject of the question, and we found that it has a true positive rate higher than 50% (\(\alpha \)=10%).

Question s Advisor - A Wizard Interface to Teach Novice Programmers How to Post "Better" Questions in Stack Overflow.

Programmers often recur for online communities in order to find help for a current problem that they are facing. However, after sharing a question, its author has no guarantee if he will receive an answer, neither when. Recent studies have found that low quality is one of the top reasons why questions remain unanswered. In this work, we conducted a qualitative study aiming identifying what programmers are looking in a question that they decide to answer. Based on this feedback, we designed a tool to help programmers to write high quality questions. We named the app Questions’ Advisor, due his role of helping but without forcing the user to follow it, and it is available for desktop and mobile clients. We believe it could be very helpful, especially for novice programmers.

Um Ambiente Integrado de Simulação para Auxiliar o Processo de Ensino/Aprendizagem da Disciplina de Estrutura de Dados

A educacao a distancia tem ganhado significativa atencao tanto na academia quanto nas iniciativas governamentais. Neste contexto, cresce tambem a preocupacao com a avaliacao da qualidade dos diversos aspectos destes cursos mediados pelas tecnologias da informacao e comunicacao. Apesar de muitos trabalhos discutirem diversos aspectos da avaliacao em Ead, a literatura carece de relatos de experiencia que, especialmente, abordem os cursos tecnicos a distancia que possuem especificidades relevantes. Assim, este trabalho relata uma experiencia onde se avalia e adapta uma das propostas existentes na literatura de avaliacao mediada por foruns, ao contexto dos cursos tecnicos a distancia, constituindo-se esta adaptacao e sua discussao as principais contribuicoes do mesmo.Em Educacao a Distância mediada por meio de Ambientes Virtuais de Aprendizagem, foruns de discussao sao um instrumento importante e amplamente utilizado na articulacao de debates e discussoes entre os atores envolvidos no processo de ensino e aprendizagem. Com a ampla utilizacao dos foruns muitas mensagens sao trocadas e isso, por vezes, excede a capacidade de monitoramento por parte dos professores e tutores. O presente trabalho apresenta a concepcao de um classificador de mensagens de foruns que classifica as mensagens em positivas ou negativas, a fim de identificar mensagens que necessitam de maior atencao. Este trabalho aplica conceitos de mineracao de textos, com o algoritmo SVM obtendo taxas de acerto satisfatorias.Este artigo apresenta o framework Contagious, cujo proposito e estabelecer diretrizes que norteiem a construcao de redes sociais online orientadas a Difusao de Inovacoes. Compreendo-se o fenomeno das redes sociais online como consequencia natural do carater social do ser humano, vislumbrou-se esse meio tecnologico de comunicacao e interacao social como potencial ferramenta para a extensao de praticas educativas, com vistas a formacao do carater integral do cidadao. Para isso, foi adotada a teoria de Difusao de Inovacoes, propria das ciencias sociais. As contribuicoes deste trabalho, portanto, compreendem duas vertentes: a) o mapeamento de principios de uma teoria social na forma de recursos computacionais e; b) um enfoque orientado a educacao sobre as redes sociais online.A proposta do trabalho consiste em desenvolver um sistema para ser usado no celular como ferramenta de auxilio para alfabetizacao, utilizando-se de imagens e sons como forma de facilitar o aprendizado. Como metodo de desenvolvimento utiliza-se o processo P@PSEduc (Processo Agil para Software Educativo) e a ferramenta JME (Java Micro Edition).O crescente uso e difusao de tecnologias Web, a ubiquidade de ferramentas educacionais vem proporcionado verdadeiras revolucoes nos ambientes de ensino. Atualmente, sabe-se que nao mais se deve tratar alunos de forma homogenea, como se assim os fossem. Em face disso, este artigo apresenta um sistema adaptativo de apoio a aprendizagem colaborativa, cujo tema e a construcao e representacao do conhecimento por meio de mapas mentais multimidia. Tal sistema, baseia-se na Teoria da Carga Cognitiva, cuja preocupacao primaria e a facilidade com a qual as informacoes sao processadas pelos individuos.