Name
Abstract | ||
|---|---|---|
Most state-of-the-art service selection approaches assume user preferences can be provided by the target user with sufficient precision and ignore historical service usage data for all users. It is desirable for ordinary users to possess a new service selection approach that can recommend satisfactory services to them even when their service selection preferences are specified imprecisely in terms... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TNSM.2017.2731050 | IEEE Transactions on Network and Service Management |
Keywords | Field | DocType |
Quality of service,Pragmatics,Reliability,Fuzzy logic,Tools,Electronic mail,Time factors | Data mining,Pragmatics,Computer science,Quality of service,Service selection,Artificial intelligence,Terms of service,Cognition,Distributed computing,Vagueness,Fuzzy logic,Maximization,Machine learning | Journal |
Volume | Issue | ISSN |
14 | 3 | 1932-4537 |
Citations | PageRank | References |
3 | 0.40 | 31 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| lingyan zhang | 1 | 28 | 2.35 |
| Shangguang Wang | 2 | 816 | 88.84 |
| Raymond K. Wong | 3 | 661 | 105.45 |
| Fangchun Yang | 4 | 1082 | 90.49 |
| Rong N. Chang | 5 | 346 | 29.75 |