For Team Building Support Miguel Veloso Enabler - Solutions for Retailing,...  Home/Search
Context
Related
| niaad.liacc.up.pt/~...iceis04veloso.pdf Cached: PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
PS.gz PS Image Update HelpFrom: niaad.liacc.up.pt/~amjorge/doc... (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: In this paper we describe an application of recommender systems to team building in a company or organization. The recommender system uses a collaborative filtering model based approach. Recommender models are sets of association rules extracted from the activity log of employees assigned to projects or tasks. Recommendation is performed at two levels: first by recommending a single team element given a partially built team; and second by recommending changes to a completed team. The... (Update)
Active bibliography (related documents): More All
0.1: Market-Based Recommendations: Design, Simulation and.. - Wei, Moreau, Jennings (2003) (Correct)
0.1: Learning Users' Interests in a Market-Based Recommender System - Wei, Moreau, Jennings (Correct)
0.1: Market-Based Recommender Systems: Learning Users'.. - Wei, Moreau, Jennings (Correct)
Similar documents based on text:
0.0: Unknown - (Correct)
BibTeX entry: (Update)
@misc{ building-modelbased,
author = "For Team Building",
title = "Model-Based Collaborative Filtering",
url = "citeseer.ist.psu.edu/738959.html" }
Citations (may not include all citations):976 Machine Learning (context) - Tom - 1997
910 Fast Algorithms for Mining Association Rules - Agrawal, Srikant - 1994
416 Information retrieval - van Rijsbergen - 1979
226 Using Collaborative Filtering to Weave an Information Tapest.. (context) - Goldberg, Nichols et al. - 1992
159 Recommender Systems (context) - Resnick, Varian - 1997
107 Principles of Data Mining (context) - Hand, Mannila et al. - 2001
56 Algorithms for Association Rule Mining -- A General Survey a.. - Hipp, Guntzer et al. - 2000
47 Item-based Collaborative Filtering Recommendation Algorithms - Sarwar, Karypis et al. - 2001
35 Collaborative Filtering by Personality Diagnosis: A Hybrid M.. - Pennock, Horvitz et al. - 2000
30 Analysis of Recommendation Algorithms for ECommerce - Sarwar, Karypis et al. - 2000
18 R: A Language for Data Analysis and Graphics (context) - Ihaka, Gentleman - 1996
7 Recommender Systems: A Market-Based Design - Wei, Moreau et al. - 2003
1 Regras de Associao Aplicadas a um Mtodo de Apoio ao Planeame.. (context) - Butterworths - 2003
1 CAREN -- A Java Based Apriori Implementation for Classificat.. (context) - Azevedo - 2003
1 Empirical Analysis of Predictive Algorithms for Collaborativ.. (context) - Report, Accessed et al. - 1998
1 Recommendation With Association Rules: A Web Mining Applicat.. (context) - Jorge, Alves et al. - 2002
Documents on the same site (http://www.niaad.liacc.up.pt/~amjorge/docs/): More
Towards Program Synthesis From A Small Example Set - Lubo Popelnsk Masaryk (1994) (Correct)
Relating Logic Programs Via Program Maps - Kirschenbaum, Sterling, Jain (1993) (Correct)
Integrity Constraints Revisited - Robert Demolombe Cert (1996) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC