{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/improving-session-recommendation-with","title":"Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time","arxiv_id":"1706.10231","date":"2017-06-30","proceeding":null,"authors":["Alexander Dallmann","Alexander Grimm","Christian Pölitz","Daniel Zoller","Andreas Hotho"],"abstract":"Recently, Recurrent Neural Networks (RNNs) have been applied to the task of\nsession-based recommendation. These approaches use RNNs to predict the next\nitem in a user session based on the previ- ously visited items. While some\napproaches consider additional item properties, we argue that item dwell time\ncan be used as an implicit measure of user interest to improve session-based\nitem recommen- dations. We propose an extension to existing RNN approaches that\ncaptures user dwell time in addition to the visited items and show that\nrecommendation performance can be improved. Additionally, we investigate the\nusefulness of a single validation split for model selection in the case of\nminor improvements and find that in our case the best model is not selected and\na fold-like study with different validation sets is necessary to ensure the\nselection of the best model.","url_abs":"http://arxiv.org/abs/1706.10231v1","url_pdf":"http://arxiv.org/pdf/1706.10231v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"improving-session-recommendation-with","repo_url":"https://github.com/miniii222/Graduate-Paper","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"model-selection","task_name":"Model Selection"},{"task_slug":"session-based-recommendations","task_name":"Session-Based Recommendations"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}