Name
Abstract | ||
|---|---|---|
Context information, such as product category, plays a vital role in sequential recommendations. Recently, there has been a growing interest in context-aware sequential recommender systems. However, in previous studies, contexts have often been treated as auxiliary information without the consideration of the inter-sequence dependency between the item sequence and the context sequence. Such a dependency provides valuable details for predicting a user’s future behavior. For example, a user may buy electronic accessories after buying an electronic product. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.ins.2021.09.001 | Information Sciences |
Keywords | DocType | Volume |
Sequential recommendation,Context information,Seq2seq translation model | Journal | 581 |
ISSN | Citations | PageRank |
0020-0255 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ke Sun | 1 | 0 | 0.34 |
| Tieyun Qian | 2 | 177 | 28.81 |
| Xu Chen | 3 | 8 | 4.21 |
| Ming Zhong | 4 | 0 | 0.34 |