A survey of collaborative web search practices

Morris, Meredith Ringel

doi:10.1145/1357054.1357312

Cited by 190 publications

(202 citation statements)

References 11 publications

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“…Our system provides similar organizational functionalities refined through several learning communities and previous work, LearnWeb [12], thus gaining advantage from several years of development and user feedback in that context. ArchiveWeb builds on the LearnWeb platform which already supports collaborative sensemaking [6,18] by allowing users to share and collaboratively work on resources retrieved from various web sources [2,8,13,14].…”

Section: Related Workmentioning

confidence: 99%

ArchiveWeb: Collaboratively Extending and Exploring Web Archive Collections

Fernando

Marenzi

Nejdl

et al. 2016

Research and Advanced Technology for Digital Libraries

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Abstract. Curated web archive collections contain focused digital contents which are collected by archiving organizations to provide a representative sample covering specific topics and events to preserve them for future exploration and analysis. In this paper, we discuss how to best support collaborative construction and exploration of these collections through the ArchiveWeb system. ArchiveWeb has been developed using an iterative evaluation-driven design-based research approach, with considerable user feedback at all stages. This paper describes the functionalities of our current prototype for searching, constructing, exploring and discussing web archive collections, as well as feedback on this prototype from seven archiving organizations, and our plans for improving the next release of the system.

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Section: Related Workmentioning

confidence: 99%

ArchiveWeb: Collaboratively Extending and Exploring Web Archive Collections

Fernando

Marenzi

Nejdl

et al. 2016

Research and Advanced Technology for Digital Libraries

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“…(Resnick and Varian, 1997;Balabanovic and Shoham, 1997;Schafer et al, 1999;Jameson and Smyth, 2007;Smyth, 2007;Morris, 2008).…”

Section: Motivationmentioning

confidence: 99%

CodeRAnts: A recommendation method based on collaborative searching and ant colonies, applied to reusing of open source code

Caicedo-Castro¹,

Duarte-Amaya²

2014

ing.inv.

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This paper presents CodeRAnts, a new recommendation method based on a collaborative searching technique and inspired on the ant colony metaphor. This method aims to fill the gap in the current state of the matter regarding recommender systems for software reuse, for which prior works present two problems. The first is that, recommender systems based on these works cannot learn from the collaboration of programmers and second, outcomes of assessments carried out on these systems present low precision measures and recall and in some of these systems, these metrics have not been evaluated. The work presented in this paper contributes a recommendation method, which solves these problems. Keywords:Recommender Systems on Software Engineering, recommendation method based on collaborative searching, software reuse, open source software, ant colony. RESUMENEste artículo presenta CodeRAnts: un nuevo método de recomendación basado en la técnica de búsqueda colaborativa e inspirada en la metáfora de la colonia de hormigas. Este método es propuesto con el objetivo de llenar el vacío en el estado del arte en cuanto a los sistemas de recomendación diseñados para reutilizar software, cuyos trabajos previos presentan dos problemas. El primero, es que los sistemas de recomendación basados en esos trabajos no pueden aprender de la colaboración de los programadores, y segundo, que los resultados de las pruebas realizados sobre estos sistemas presentan medidas bajas de precisión y remembranza, incluso, en algunos de estos sistemas no se hizo una evaluación de estas métricas. La contribución de este trabajo es un método de recomendación que resuelva dichos problemas.Palabras clave: Sistemas de recomendación para ingeniería de software, método de recomendación basado en la búsqueda colaborativa, reutilización de software, software de fuente abierta y colonia de hormigas.

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“…There was a study conducted by Morris (2008) that showed, from 204 knowledge workers that the majority of them wanted to collaborate to every specific goal. Shah (2008) argued that our understanding of how people work in collaboration of information sharing projects, and the tools that support such activities are inadequate.…”

Section: Literature Reviewmentioning

confidence: 99%

Information Sharing among the Government, University, and Industry: A CIS Approach

Hasan¹,

Dahlan²

2013

CIBIMA

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The study explores the concept of collaborative information system through the combined deployment of Quadruple Helix Model (QHM) collaboration promoted by Agensi Inovasi Malaysia, an agency under the Ministry of Science, Technology and Innovation Malaysia (MOSTI) and the "Whole-of-Government" (WoG) concept of ICT implementation across the Malaysian government agencies promoted by MAMPU. The four QHM collaborators are the government, universities, industries and citizens, which are involved in the human capital development and workforce employment in any country. The idea of having collaboration among all these four collaborators in information system is vital, where in the Innovation Economy, knowledge and information no longer resides just within the walls of an organization. QHM's premise is that all four actors have equal roles to play in stimulating innovative human capital development in a country. The prime objective of this study is to investigate the possibility of four QHM actors collaborating by leveraging a standard online platform where each of them is able to access, exchange, and represent information for the greater benefit of the citizens for a particular country, especially in the context of Malaysia. The description of the collaborators includes the functionalities and information services offered by each of the collaborative icon together with brief concept of implementation mechanism. As the expected outcome, the citizens would get ample information based on their needs. The discussion incorporates the justification of why four actors have been chosen for collaboration in this study. Finally, future implications indicate the direction of the design and successful implementation of this study.

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A survey of collaborative web search practices

Cited by 190 publications

References 11 publications

ArchiveWeb: Collaboratively Extending and Exploring Web Archive Collections

ArchiveWeb: Collaboratively Extending and Exploring Web Archive Collections

CodeRAnts: A recommendation method based on collaborative searching and ant colonies, applied to reusing of open source code

Information Sharing among the Government, University, and Industry: A CIS Approach

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