Name
Title | ||
|---|---|---|
'MASTerful' Matchmaking in Service Transactions: Inferred Abilities, Needs and Interests versus Activity Histories. |
Abstract | ||
|---|---|---|
Timebanking is a growing type of peer-to-peer service exchange, but is hampered by the effort of finding good transaction partners. We seek to reduce this effort by using a Matching Algorithm for Service Transactions (MAST). MAST matches transaction partners in terms of similarity of interests and complementarity of abilities and needs. We present an experiment involving data and participants from a real timebanking network, that evaluates the acceptability of MAST, and shows that such an algorithm can retrieve matches that are subjectively better than matches based on matching the category of people's historical offers or requests to the category of a current transaction request.
|
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2858036.2858263 | CHI |
Keywords | Field | DocType |
Timebanking, reciprocal recommenders, matching algorithms, experimental evaluation | Complementarity (molecular biology),World Wide Web,Computer science,Database transaction,Blossom algorithm | Conference |
ISBN | Citations | PageRank |
978-1-4503-3362-7 | 7 | 0.46 |
References | Authors | |
16 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyunggu Jung | 1 | 12 | 6.77 |
| V. Bellotti | 2 | 3803 | 441.00 |
| Afsaneh Doryab | 3 | 201 | 14.09 |
| Dean Leitersdorf | 4 | 9 | 2.17 |
| Jiawei Chen | 5 | 16 | 5.01 |
| Benjamin V. Hanrahan | 6 | 127 | 17.04 |
| Sooyeon Lee | 7 | 13 | 2.34 |
| Daniel Turner | 8 | 38 | 2.03 |
| Anind Dey | 9 | 11484 | 959.91 |
| John M. Carroll | 10 | 7 | 1.14 |