scispace - formally typeset
Search or ask a question
Author

Frederico Araújo Durão

Bio: Frederico Araújo Durão is an academic researcher from Federal University of Bahia. The author has contributed to research in topics: Recommender system & Personalization. The author has an hindex of 11, co-authored 64 publications receiving 498 citations. Previous affiliations of Frederico Araújo Durão include Aalborg University & Recife Center for Advanced Studies and Systems.


Papers
More filters
Journal ArticleDOI
TL;DR: Although cloud computing is based on a 50-year-old business model, evidence indicates that cloud computing still needs to expand and overcome present limitations that prevent the full use of its potential.
Abstract: Cloud computing is an ascending technology that has introduced a new paradigm by rendering a rational computational model possible. It has changed the dynamics of IT consumption by means of a model that provides on-demand services over the Internet. Unlike the traditional hosting service, cloud computing services are paid for per usage and may expand or shrink based on demand. Such services are, in general, fully managed by cloud providers that require users nothing but a personal computer and an Internet access. In recent years, this model has attracted the attention of researchers, investors and practitioners, many of whom have proposed a number of applications, structures and fundamentals of cloud computing, resulting in various definitions, requirements and models. Despite the interest and advances in the field, issues such as security and privacy, service layer agreement, resource sharing, and billing have opened up new questions about the real gains of the model. Although cloud computing is based on a 50-year-old business model, evidence from this study indicates that cloud computing still needs to expand and overcome present limitations that prevent the full use of its potential. In this study, we critically review the state of the art in cloud computing with the aim of identifying advances, gaps and new challenges.

128 citations

Proceedings ArticleDOI
11 Mar 2007
TL;DR: A case study indicates the suit of different search techniques is better than using separately and a set of requirements to perform component search and retrieval with folksonomy are presented, beyond the architectural and implementation aspects that accomplishes the tool.
Abstract: This paper presents the use of folksonomy concepts in a software component search engine as an alternative to improve the search result quality, covering from specification to implementation. A case study was performed in order to evaluate its performance and viability. Additionally, a set of requirements to perform component search and retrieval with folksonomy are presented, beyond the architectural and implementation aspects that accomplishes the tool. The case study indicates the suit of different search techniques is better than using separately. The engine's current version combines keyword, facet-based and folksonomy search techniques.

44 citations

01 Mar 2012
TL;DR: A tag-based recommender system which suggests similar Web pages based on the similarity of their tags from a Web 2.0 tagging application and extends the basic similarity calculus with external factors such as tag popularity, tag representativeness and the affinity between user and tag.
Abstract: Tagging activity has been recently identied as a potential source of knowledge about personal interests, preferences, goals, and other attributes known from user models. Tags themselves can be there- fore used for nding personalized recommendations of items. In this pa- per, we present a tag-based recommender system which suggests similar Web pages based on the similarity of their tags from a Web 2.0 tagging application. The proposed approach extends the basic similarity calculus with external factors such as tag popularity, tag representativeness and the anity between user and tag. In order to study and evaluate the rec- ommender system, we have conducted an experiment involving 38 people from 12 countries using data from Del.icio.us, a social bookmarking web system on which users can share their personal bookmarks.

39 citations

Proceedings ArticleDOI
22 Mar 2010
TL;DR: A semantic extension for a hybrid tag-based recommender system, which suggests similar Web pages based on the similarity of their tags, and aims at discovering tag relations which are not considered in basic syntax similarity.
Abstract: Tagging activity has been recently identified as a potential source of knowledge about personal interests, preferences, goals, and other attributes known from user models. Tags themselves can be therefore used for finding personalized recommendations of items. This paper proposes a semantic extension for a hybrid tag-based recommender system, which suggests similar Web pages based on the similarity of their tags. The semantic extension aims at discovering tag relations which are not considered in basic syntax similarity. With the goal of generating more semantically grounded recommendations, the proposal extends a hybrid tag-based recommender system with a semantic factor, which looks for tag relations in different semantic sources. In order to evaluate the benefits acquired with the semantic extension, we have compared the new findings with results from a previous experiment involving 38 people from 12 countries using data from del.icio.us.

35 citations

Book ChapterDOI
29 Jun 2006
TL;DR: This paper presents a software component search engine, from the early specification and design steps to two experiments performed to evaluate its performance, and points out possible improvements and future research directions.
Abstract: This paper presents a software component search engine, from the early specification and design steps to two experiments performed to evaluate its performance. After the experience gained from the use of this first version, several improvements were introduced. The current version of the engine combines text mining and facet-based search. The experiments indicated, so far, that using these two techniques together is better than using them separately. From the experience obtained in these experiments and in industrial tests, we point out possible improvements and future research directions, which are presented and discussed at the end of the paper.

32 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: As an example of how the current "war on terrorism" could generate a durable civic renewal, Putnam points to the burst in civic practices that occurred during and after World War II, which he says "permanently marked" the generation that lived through it and had a "terrific effect on American public life over the last half-century."
Abstract: The present historical moment may seem a particularly inopportune time to review Bowling Alone, Robert Putnam's latest exploration of civic decline in America. After all, the outpouring of volunteerism, solidarity, patriotism, and self-sacrifice displayed by Americans in the wake of the September 11 terrorist attacks appears to fly in the face of Putnam's central argument: that \"social capital\" -defined as \"social networks and the norms of reciprocity and trustworthiness that arise from them\" (p. 19)'has declined to dangerously low levels in America over the last three decades. However, Putnam is not fazed in the least by the recent effusion of solidarity. Quite the contrary, he sees in it the potential to \"reverse what has been a 30to 40-year steady decline in most measures of connectedness or community.\"' As an example of how the current \"war on terrorism\" could generate a durable civic renewal, Putnam points to the burst in civic practices that occurred during and after World War II, which he says \"permanently marked\" the generation that lived through it and had a \"terrific effect on American public life over the last half-century.\" 3 If Americans can follow this example and channel their current civic

5,309 citations

Proceedings ArticleDOI
Steven P. Reiss1
16 May 2009
TL;DR: This work lets users specify what they are looking for as precisely as possible using keywords, class or method signatures, test cases, contracts, and security constraints, and an open set of program transformations to map retrieved code into what the user asked for.
Abstract: Our goal is to use the vast repositories of available open source code to generate specific functions or classes that meet a user's specifications. The key words here are specifications and generate. We let users specify what they are looking for as precisely as possible using keywords, class or method signatures, test cases, contracts, and security constraints. Our system then uses an open set of program transformations to map retrieved code into what the user asked for. This approach is implemented in a prototype system for Java with a web interface.

348 citations

Journal ArticleDOI
TL;DR: Results revealed that DSOS outperforms Particle Swarm Optimization which is one of the most popular heuristic optimization techniques used for task scheduling problems and performs significantly better than PSO for large search spaces.

291 citations