Name
Abstract | ||
|---|---|---|
Current research environments are witnessing high enormities of presentations occurring in different sessions at academic conferences. This situation makes it difficult for researchers (especially juniors) to attend the right presentation session(s) for effective collaboration. In this paper, we propose an innovative venue recommendation algorithm to enhance smart conference participation. Our proposed algorithm, Social Aware Recommendation of Venues and Environments (SARVE), computes the Pearson Correlation and social characteristic information of conference participants. SARVE further incorporates the current context of both the smart conference community and participants in order to model a recommendation process using distributed community detection. Through the integration of the above computations and techniques, we are able to recommend presentation sessions of active participant presenters that may be of high interest to a particular participant. We evaluate SARVE using a real world dataset. Our experimental results demonstrate that SARVE outperforms other state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/UIC-ATC.2013.81 | ubiquitous intelligence and computing |
Keywords | DocType | Volume |
current research environment,active participant presenter,high interest,smart conference participation,academic conference,socially-aware venue recommendation,smart conference community,conference participant,community detection,current context,conference participants,high enormity,community,mobile computing,recommender systems,social awareness,information retrieval | Conference | abs/1312.6808 |
Issue | ISSN | Citations |
null | The 10th IEEE International Conference on Ubiquitous Intelligence
and Computing (UIC), Vietri sul Mare, Italy, December 2013 | 10 |
PageRank | References | Authors |
0.58 | 15 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Xia | 1 | 2013 | 153.69 |
| Nana Yaw Asabere | 2 | 87 | 6.31 |
| JOEL J. P. C. RODRIGUES | 3 | 3484 | 341.72 |
| Filippo Basso | 4 | 132 | 10.07 |
| Nakema Deonauth | 5 | 73 | 3.49 |
| Wei Wang | 6 | 10 | 0.58 |