Results 11 - 20
of
166
Expert Finding Systems for Organizations: Problem and Domain Analysis and the DEMOIR Approach
- Journal of Organizational Computing and Electronic Commerce
, 2003
"... This paper investigates such systems in two parts. We first explore the expert finding problem in depth, review and analyze existing systems in this domain, and suggest a domain model that can serve as a framework for design and development decisions. Based on our analyses of the problem and solutio ..."
Abstract
-
Cited by 57 (0 self)
- Add to MetaCart
(Show Context)
This paper investigates such systems in two parts. We first explore the expert finding problem in depth, review and analyze existing systems in this domain, and suggest a domain model that can serve as a framework for design and development decisions. Based on our analyses of the problem and solution spaces, we then bring to light the gaps that remain to be addressed. Finally, we present our approach called DEMOIR, which is a modular architecture for expert finding systems that is based on a centralized expertise modeling server while also incorporating decentralized components for expertise information gathering and exploitation
Collaborative Information Retrieval in an information-intensive domain.
- Information Processing & Management,
, 2005
"... ..."
Recommending emergent teams
- In MSR ’07: Proceedings of the Fourth International Workshop on Mining Software Repositories
, 2007
"... To build successful complex software systems, develop-ers must collaborate with each other to solve issues. To facilitate this collaboration, specialized tools, such as chat and screen sharing, are being integrated into development environments. Currently, these tools require a developer to maintain ..."
Abstract
-
Cited by 39 (3 self)
- Add to MetaCart
(Show Context)
To build successful complex software systems, develop-ers must collaborate with each other to solve issues. To facilitate this collaboration, specialized tools, such as chat and screen sharing, are being integrated into development environments. Currently, these tools require a developer to maintain a list of other developers with whom they may wish to communicate and to determine who within this list has expertise for a specific situation. For large, dynamic projects, like several successful open-source projects, these requirements place an unreasonable burden on the devel-oper. In this paper, we show how the structure of a team emerges from how developers change software artifacts. We introduce the Emergent Expertise Locator (EEL) that uses emergent team information to propose experts to a devel-oper within their development environment as the developer works. We found that EEL produces, on average, results with higher precision and higher recall than an existing heuristic for expertise recommendation. 1
Exploring Support for Knowledge Management in Mobile Work
- In Proceedings of the Sixth European Conference on Computer-Supported Cooperative Work
, 1999
"... This paper reports fieldwork from the electrical utilities industry, examining the suitability of current knowledge management perspectives to the day-to-day work of mobile staff. Reporting the results of the empirical study, we make a distinction between four aspects of local and mobile "knowl ..."
Abstract
-
Cited by 36 (8 self)
- Add to MetaCart
(Show Context)
This paper reports fieldwork from the electrical utilities industry, examining the suitability of current knowledge management perspectives to the day-to-day work of mobile staff. Reporting the results of the empirical study, we make a distinction between four aspects of local and mobile "knowledge management" as it took place in the mobile work setting: sharing, i.e., several parties exchange knowledge; indexing, i.e., one party explains to another what knowledge to retrieve; diagnosing, i.e., two parties make sense of how to interpret a situation, and; foreseeing, i.e., one party (or more) uses knowledge to project the future. We compare and contrast the empirical findings with current knowledge management perspectives, and outline an initial sketch of a framework for "practical knowledge management."
An Adaptive Social Network for Information Access: Theoretical and Experimental Results
- APPLIED ARTIFICIAL INTELLIGENCE
, 2003
"... We consider a social network of software agents who assist each other in helping their users find information. Unlike in most previous approaches, our architecture is fully distributed and includes agents who preserve the privacy and autonomy of their users. These agents learn models of each othe ..."
Abstract
-
Cited by 32 (11 self)
- Add to MetaCart
We consider a social network of software agents who assist each other in helping their users find information. Unlike in most previous approaches, our architecture is fully distributed and includes agents who preserve the privacy and autonomy of their users. These agents learn models of each other in terms of expertise (ability to produce correct domain answers) and sociability (ability to produce accurate referrals). We study our framework experimentally to study how the social network evolves. Specifically, we find that under our multiagent learning heuristic, the quality of the network improves with interactions; the quality is maximized when both expertise and sociability are considered; pivot agents further improve the quality of the network and have a catalytic effect on its quality even if they are ultimately removed. Moreover, the quality of the network improves when clustering decreases, reflecting the intuition that you need to talk to people outside your close circle to get the best information.
Evaluating Expertise Recommendations
- PROCEEDINGS OF THE 2001 INTERNATIONAL ACM SIGGROUP CONFERENCE ON SUPPORTING GROUP WORK
, 2001
"... Finding a person who has the experience to solve a specific precif is an imporKRI application ofr1SSWRI-1W systems to a difficultorcultRA1AWAR pr11Rr Pr11 systems have made attempts to implement solutions to thisprsRDAK but few systems haveunderC12 systematicuser evaluation. This wor descrDWA a syst ..."
Abstract
-
Cited by 32 (4 self)
- Add to MetaCart
Finding a person who has the experience to solve a specific precif is an imporKRI application ofr1SSWRI-1W systems to a difficultorcultRA1AWAR pr11Rr Pr11 systems have made attempts to implement solutions to thisprsRDAK but few systems haveunderC12 systematicuser evaluation. This wor descrDWA a systematic evaluation of theExperWAW Recommender (ER), a system thatrtRAKAC1R people who ar likely to haveexper1Ain a specific prcific ER and the or2-1CRICCW11 contextfor which it was designedar descredR toprAA2R a basisfor underDM-2RIC this evaluation.Pral t o conducting the evaluation, a baselineexpereRA2 showed that peoplear rpleRWKSgood at judging coworRD1- experRD when given an appr1RIM2W context. This finding prdingR a way to demonstrKW the effectiveness of ER bycompar-R ER's per-1MRIMK torRAAMM by coworARIM The evaluation, the design, andrdR2SW ar descrSRI in detail. ThereRDMD suggest that the parDMARIM-W agr with therRAKWAKRIM-W11 made by ER, and that ER significantly outpercant other experrc rperrcan systems when compared using similar metrics.
FieldWise: A Mobile Knowledge Management Architecture
- PROCEEDINGS OF THE 2000 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK
, 2000
"... The paper presents results of a research project that has aimed at developing knowledge management architecture for mobile work domains. The architecture developed, called FieldWise, was based on fieldwork in two organisations and feedback from users of prototype systems. This paper describes the em ..."
Abstract
-
Cited by 32 (2 self)
- Add to MetaCart
The paper presents results of a research project that has aimed at developing knowledge management architecture for mobile work domains. The architecture developed, called FieldWise, was based on fieldwork in two organisations and feedback from users of prototype systems. This paper describes the empirically grounded requirements of FieldWise, how these have been realised in the architecture, and how the architecture has been implemented in the news journalism domain. FieldWise adds to the field of CSCW by offering an empirically grounded architecture with a set of novel features that have not been previously reported in the literature.
An examination of daily information needs and sharing opportunities
- In Proc. CSCW 2008, ACM Press
, 2008
"... A person often has highly context-sensitive information needs that require assistance from individuals in their social network. However, a person‟s social network is often not broad enough to include the right people in the right situations or circumstances who can satisfy the needs. The ability to ..."
Abstract
-
Cited by 24 (5 self)
- Add to MetaCart
(Show Context)
A person often has highly context-sensitive information needs that require assistance from individuals in their social network. However, a person‟s social network is often not broad enough to include the right people in the right situations or circumstances who can satisfy the needs. The ability to satisfy context-sensitive information needs depends on a person‟s ability to seek the answers from appropriate individuals, who must then provide a response in a timely manner. To gain an understanding of how to better support the sharing of information, we conducted a four-week diary study examining 20 people‟s perceived daily information needs and sharing desires. We provide a structured framework for understanding the types of information people need and discuss when and how people are able to satisfy their needs. Using these findings, we discuss research and design opportunities for addressing the shortcomings of the existing information sources by connecting information altruists with an audience by leveraging weak ties through situation and circumstance, and providing a timely asynchronous connection to these sources.
Making sense of strangers' expertise from signals in digital artifacts
- Proc. CHI '09
, 2009
"... Contemporary work increasingly involves interacting with strangers in technology-mediated environments. In this context, we come to rely on digital artifacts to infer characteristics of other people. This paper reports the results of a study conducted in a global company that used expertise search a ..."
Abstract
-
Cited by 23 (1 self)
- Add to MetaCart
(Show Context)
Contemporary work increasingly involves interacting with strangers in technology-mediated environments. In this context, we come to rely on digital artifacts to infer characteristics of other people. This paper reports the results of a study conducted in a global company that used expertise search as a vehicle for exploring how people interpret a range of information available in online profiles in evaluating whom to interact with for expertise. Using signaling theory as a conceptual framework, we describe how certain ‘signals ’ in various social software are hard to fake, and are thus more reliable indicators of expertise. Multi-level regression analysis revealed that participation in social software, social connection information, and selfdescribed expertise in the corporate directory were significantly helpful in the decision to contact someone for expertise. Qualitative analysis provided further insights regarding the interpretations people form of others’ expertise from digital artifacts. We conclude with suggestions on differentiating various types of information available within online profiles and implications for the design of expertise locator/recommender systems. Author Keywords Signaling, expertise search, social software, social networks
