%0 Journal Article %1 journals/kbs/JingQSY22 %A Jing, Caixia %A Qiu, Liqing %A Sun, Chengai %A Yang, Qingyu %D 2022 %J Knowl. Based Syst. %K dblp %P 109135 %T ICE-DEN: A click-through rate prediction method based on interest contribution extraction of dynamic attention intensity. %U http://dblp.uni-trier.de/db/journals/kbs/kbs250.html#JingQSY22 %V 250

@article{journals/kbs/JingQSY22, added-at = {2022-07-25T00:00:00.000+0200}, author = {Jing, Caixia and Qiu, Liqing and Sun, Chengai and Yang, Qingyu}, biburl = {https://www.bibsonomy.org/bibtex/26c769bdae0a8df4b50d84a7de4712c57/dblp}, ee = {https://doi.org/10.1016/j.knosys.2022.109135}, interhash = {83ee9acee9998b01c70c200073e55fef}, intrahash = {6c769bdae0a8df4b50d84a7de4712c57}, journal = {Knowl. Based Syst.}, keywords = {dblp}, pages = 109135, timestamp = {2024-04-09T02:47:54.000+0200}, title = {ICE-DEN: A click-through rate prediction method based on interest contribution extraction of dynamic attention intensity.}, url = {http://dblp.uni-trier.de/db/journals/kbs/kbs250.html#JingQSY22}, volume = 250, year = 2022 }