Name
Abstract | ||
|---|---|---|
Taste in music is of highly subjective nature, making the recommending of music tracks a challenging research task. With TRecS, our live prototype system, we present a weighted hybrid recommender approach that amalgamates three diverse recommender techniques into one comprehensive score. Moreover, our system peppers the generated result list with recommendations based on a simple serendipity heuristic. This way, users can benefit from recommendations aligned with their current taste in music while gaining some exploratory diversification. An explanation feature helps the user understand the rationale behind each of the tracks being recommended to him. Empirical evaluations of the live system, based on an online evaluation, assess the overall recommendation quality as well as the impact of each of the three sub-recommenders. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/WI-IAT.2013.9 | Web Intelligence |
Keywords | Field | DocType |
exploratory diversification,live system,live prototype system,comprehensive score,weighted hybrid recommender approach,explanation feature,diverse recommender technique,current taste,hybrid music recommender systems,challenging research task,empirical evaluation,music,recommender systems | Recommender system,Heuristic,World Wide Web,Diversification (marketing strategy),Online evaluation,Engineering,Serendipity | Conference |
Citations | PageRank | References |
3 | 0.37 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Hornung | 1 | 396 | 28.08 |
| Cai-Nicolas Ziegler | 2 | 1507 | 83.74 |
| Simon Franz | 3 | 4 | 0.74 |
| Martin Przyjaciel-Zablocki | 4 | 161 | 9.98 |
| Alexander Schätzle | 5 | 157 | 9.59 |
| Georg Lausen | 6 | 3687 | 526.29 |