Abstract | ||
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In order to survive, companies depend on their capacity to generate and manage knowledge while promoting alignment among its employees. To tackle this problem, it was developed an enterprise collaboration platform named Smart Canvas, a service whose goal is to leverage companies' knowledge and tear down silos by connecting people, teams, and content. These connections are suggested by a Recommender System, using techniques like Topic Modeling, Content-Based Filtering and Graph traversing. Smart Canvas is a multi-tenant Software as a Service, featuring a scalable cloud-based Recommender System architecture, including tools like Spark and Titan Graph Database, deployed on Google Cloud Platform. |
Year | DOI | Venue |
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2016 | 10.1145/2959100.2959115 | RecSys |
Keywords | Field | DocType |
Recommender system, corporate collaboration, content-based filtering, topic modeling, recommendations explanations | Recommender system,Graph database,World Wide Web,Spark (mathematics),Computer science,Collaborative software,Software as a service,Topic model,Cloud computing,Scalability | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gabriel de_Souza Pereira Moreira | 1 | 18 | 6.82 |
Gilmar Alves de Souza | 2 | 0 | 0.34 |