Dataset Groups Activity Stream INSPIRED INSPIRED is a new dataset of 1,001 human-human dialogs for movie recommendation with measures for successful recommendations. BibTex: @dataset{Shirley_Anugrah_Hayati_and_Dongyeop_Kang_and_Qingxiaoyang_Zhu_and_Weiyan_Shi_and_Zhou_Yu_2024, abstract = {INSPIRED is a new dataset of 1,001 human-human dialogs for movie recommendation with measures for successful recommendations.}, author = {Shirley Anugrah Hayati and Dongyeop Kang and Qingxiaoyang Zhu and Weiyan Shi and Zhou Yu}, doi = {10.57702/mlf0ral1}, institution = {No Organization}, keyword = {'Conversational Recommender Systems', 'Movie Recommendations', 'human-human dialogs', 'movie recommendation', 'sociable strategies'}, month = {dec}, publisher = {TIB}, title = {INSPIRED}, url = {https://service.tib.eu/ldmservice/dataset/inspired}, year = {2024} }
