Name
Abstract | ||
|---|---|---|
Recommending news articles entails additional requirements to recommender systems. Such requirements include special consumption patterns, fluctuating itemcollections, and highly sparse user profiles. This workshop (NRS'13@RecSys) brought together researchers and practitioners around the topics of designing and evaluating novel news recommender systems. Additionally, we offered a challenge allowing participants to evaluate their recommendation algorithms with actual user feedback. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2507157.2508004 | RecSys |
Keywords | Field | DocType |
recommendation algorithm,fluctuating itemcollections,additional requirement,special consumption pattern,sparse user profile,recommending news article,novel news recommender system,actual user feedback,recommender systems,news | Recommender system,Data mining,World Wide Web,Computer science,Multimedia | Conference |
Citations | PageRank | References |
9 | 1.04 | 12 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mozhgan Tavakolifard | 1 | 116 | 8.60 |
| Jon Atle Gulla | 2 | 591 | 97.84 |
| Kevin C. Almeroth | 3 | 2551 | 209.40 |
| Frank Hopfgartner | 4 | 535 | 57.69 |
| benjamin kille | 5 | 92 | 13.56 |
| Till Plumbaum | 6 | 139 | 16.51 |
| Andreas Lommatzsch | 7 | 479 | 40.83 |
| Torben Brodt | 8 | 91 | 7.22 |
| Arthur Bucko | 9 | 9 | 1.04 |
| Tobias Heintz | 10 | 35 | 2.70 |