Name
Abstract | ||
|---|---|---|
We introduce a novel model for future/next page prediction in online user journeys that uses a combination of doc2vec webpage representations with an LSTM-based neural network to mine patterns from users' online navigational paths combined with their content preferences. Empirical explorations show promise towards creating customized user experiences leveraging this work.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3308557.3308720 | Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion |
Keywords | Field | DocType |
journey prediction, recommendation | Web page,Computer science,Human–computer interaction,Artificial neural network,Sequence learning | Conference |
ISBN | Citations | PageRank |
978-1-4503-6673-1 | 0 | 0.34 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kushal Chawla | 1 | 1 | 1.70 |
| Niyati Chhaya | 2 | 13 | 5.69 |
| Aman Deep Singh | 3 | 0 | 0.34 |
| Soumya Vadlamannati | 4 | 0 | 0.34 |
| Aarushi Agrawal | 5 | 0 | 0.68 |