Dataset Groups Activity Stream ReDial Conversational recommender systems (CRS) aim to capture user's current intentions and provide recommendations through real-time multi-turn conversational interactions. BibTex: @dataset{Raymond_Li_and_Samira_Ebrahimi_Kahou_and_Hannes_Schulz_and_Vincent_Michalski_and_Laurent_Charlin_and_Chris_Pal_2024, abstract = {Conversational recommender systems (CRS) aim to capture user's current intentions and provide recommendations through real-time multi-turn conversational interactions.}, author = {Raymond Li and Samira Ebrahimi Kahou and Hannes Schulz and Vincent Michalski and Laurent Charlin and Chris Pal}, doi = {10.57702/3y9xpiy3}, institution = {No Organization}, keyword = {'Conversational Recommender Systems', 'Dialogue Generation', 'Movie Recommendations', 'User Intentions', 'conversational recommendation', 'dialogue systems'}, month = {dec}, publisher = {TIB}, title = {ReDial}, url = {https://service.tib.eu/ldmservice/dataset/redial}, year = {2024} }
