Name
Abstract | ||
|---|---|---|
In this work we present a first attempt at developing a live system to solve the problem presented in the TREC 2015 contextual suggestion task. The goal of this task is to tailor point-of-interest suggestions to users according to their preferences [3]. We present how we gathered data for the candidate pointsof-interest, filtered some of the candidates and built a live system to return suggestions that would most likely interest the specific user. |
Year | Venue | Field |
|---|---|---|
2015 | TREC | Information retrieval,Computer science |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hella Hoffmann | 1 | 0 | 0.34 |
| Pragnya Addala | 2 | 0 | 0.68 |
| Charles L.A. Clarke | 3 | 3289 | 286.78 |