%0 Journal Article %1 Tang2018PersonalizedTS %A Tang, Jiaxi %A Wang, Ke %D 2018 %J Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining %K convolution deep_learning from:dallmann reserved sequence_modeling sequential_recommendation thema thema:convrec %T Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

@article{Tang2018PersonalizedTS, added-at = {2020-10-19T15:28:03.000+0200}, author = {Tang, Jiaxi and Wang, Ke}, biburl = {https://www.bibsonomy.org/bibtex/217046008d2037d5aceba47620d504c9d/uw_ws20_ml}, description = {[PDF] Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding | Semantic Scholar}, interhash = {4e4193027b9875bf84b114b74447e674}, intrahash = {17046008d2037d5aceba47620d504c9d}, journal = {Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining}, keywords = {convolution deep_learning from:dallmann reserved sequence_modeling sequential_recommendation thema thema:convrec}, timestamp = {2020-11-26T14:24:32.000+0100}, title = {Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding}, year = 2018 }