%0 Generic %1 gupta2023personalized %A Gupta, Saksham %A Verbruggen, Gust %A Singh, Mukul %A Gulwani, Sumit %A Le, Vu %D 2023 %K autiomation low-code %T Personalized action suggestions in low-code automation platforms %U http://arxiv.org/abs/2305.10530 %X Automation platforms aim to automate repetitive tasks using workflows, which start with a trigger and then perform a series of actions. However, with many possible actions, the user has to search for the desired action at each step, which hinders the speed of flow development. We propose a personalized transformer model that recommends the next item at each step. This personalization is learned end-to-end from user statistics that are available at inference time. We evaluated our model on workflows from Power Automate users and show that personalization improves top-1 accuracy by 22%. For new users, our model performs similar to a model trained without personalization.

@misc{gupta2023personalized, abstract = {Automation platforms aim to automate repetitive tasks using workflows, which start with a trigger and then perform a series of actions. However, with many possible actions, the user has to search for the desired action at each step, which hinders the speed of flow development. We propose a personalized transformer model that recommends the next item at each step. This personalization is learned end-to-end from user statistics that are available at inference time. We evaluated our model on workflows from Power Automate users and show that personalization improves top-1 accuracy by 22%. For new users, our model performs similar to a model trained without personalization.}, added-at = {2023-06-26T07:03:37.000+0200}, author = {Gupta, Saksham and Verbruggen, Gust and Singh, Mukul and Gulwani, Sumit and Le, Vu}, biburl = {https://www.bibsonomy.org/bibtex/22333eb3c6f7c1d9cb30c31d790cf4f5b/amitpuri}, description = {Personalized action suggestions in low-code automation platforms}, interhash = {ecf406e9f4e430522d118ce547f71cc0}, intrahash = {2333eb3c6f7c1d9cb30c31d790cf4f5b}, keywords = {autiomation low-code}, note = {cite arxiv:2305.10530Comment: 4 pages, Accepted at ICSE 2023}, timestamp = {2023-11-25T14:20:16.000+0100}, title = {Personalized action suggestions in low-code automation platforms}, url = {http://arxiv.org/abs/2305.10530}, year = 2023 }