Expertise recommender: a flexible recommendation system and architecture
Explore this paper's citation graph
Summary
The architecture and implementation of the expertise recommendation system details the work necessary to fit expertise recommendation to a work setting, and begins to tease apart the technical aspects of providing good recommendations from social and collaborative concerns.
- Type
- article
- Published
- 2000-12-01
- Cited by
- 534
- References
- 26
- Access
- Open access
- OpenAlex
- https://openalex.org/W2083973186
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1306420
Keywords
Computer-supported cooperative work, Computer science, Key (lock), Workload, Recommender system
References
- Who Knows: A System Based on Automatic Representation of Semantic Structure
- An open architecture for collaborative filtering of netnews
- Managing the flow of technology
- Using collaborative filtering to weave an information tapestry
- Yenta: a multi-agent, referral-based matchmaking system
- GroupLens: applying collaborative filtering to Usenet news
- Pointing the way: active collaborative filtering
- Talking about Machines: An Ethnography of a Modern Job
- Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system
- Recommending and evaluating choices in a virtual community of use
- Fab: content-based, collaborative recommendation
- Using frequency-of-mention in public conversations for social filtering
- PHOAKS: a system for sharing recommendations
- Just talk to me: a field study of expertise location
- Social information filtering: algorithms for automating “word of mouth”
- Referral Web: combining social networks and collaborative filtering
- Talking about Machines: An Ethnography of a Modern Job
- Content-Based, Collaborative Recommendation.
- Documents
- Attention!
Cited by
- Network-Enabled Collaborative Problem Solving
- Challenges in Searching Online Communities
- Making Project Team Recommendations from Online Information Sources
- Marketing Recommender Systems: A New Approach in Digital Economy
- PATTERN ACQUISITION TO IMPROVE ORGANIZATIONAL KNOWLEDGE AND WORKFLOW MANAGEMENT
- A Two-Stage Model for Expert Search
- Social contextuality and conversational recommender systems
- An Agent Based Approach To Finding Expertise In The Engineering Design Environment
- Helping hands: design for member-maintained online communities
- Replanting the Answer Garden - Cultivating Expertise through Decision Support Technology
- Expert Finding by Capturing Organisational Knowledge from Legacy Documents
- A Personalized Researcher Recommendation Approach in Academic Contexts: Combining Social Networks and Semantic Concepts Analysis
- Finding Experts in a Corporate Environment
- Expert Recommendation Via Semantic Social Networks
- Recommender Systems based on Personality Traits. (Système de Recommendation basé sur Traits de Personnalité)
- Arkose: A Prototype Mechanism and Tool for Collaborative Information Generation and Distillation.
- An Analysis of the Effect of Code Ownership on Software Quality across Windows, Eclipse, and Firefox
- A Weighted Topic Model Enhanced Approach for complementary Collaborator Recommendation
- Non-invasive Software Process Data Collection for Expert Identification
- Improving Virtual Collaboration: Modeling for Recommendation Systems in a Classroom Wiki Environment