Developing a Conversational Recommendation Systemfor Navigating Limited Options
Developing a Conversational Recommendation Systemfor Navigating Limited Options
复制标题
开发一个对话式推荐系统来导航有限的选项
DOI：
10.1145/3411763.3451596
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
L. Birnbaum
中科院分区：
文献类型：
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作者：
Victor S. Bursztyn;Jennifer Healey;Eunyee Koh;Nedim Lipka;L. Birnbaum
我们开发了一个对话式推荐系统，旨在帮助用户在一组有限的选项中导航，以找到最佳选择。与许多互联网规模的系统不同，我们的系统使用单一的搜索词集，并返回数千个选项中的排名列表，而我们的系统使用多轮用户对话来深入了解用户的偏好。该系统根据用户的具体和即时反馈做出响应，以提出连续的建议。我们设想，我们的系统在有内在约束的情况下将非常有用，例如在步行距离内找到合适的餐厅，或者在有限的库存中找到合适的零售商品。我们的研究原型利用来自Google Places、Yelp和Zomato的真实数据，实例化了前面的用例。我们对我们的系统进行了评估，与一个类似的系统进行了比较，该系统没有在16人的远程研究中纳入用户反馈，生成了基于场景的搜索行程。当我们的推荐系统被成功触发时，我们看到了效率的提高和对最终用户选择的更高的置信度。我们还发现，与基准相比，用户更喜欢我们的系统(75%)。
We have developed a conversational recommendation system designed to help users navigate through a set of limited options to find the best choice. Unlike many internet scale systems that use a singular set of search terms and return a ranked list of options from amongst thousands, our system uses multi-turn user dialog to deeply understand the user’s preferences. The system responds in context to the user’s specific and immediate feedback to make sequential recommendations. We envision our system would be highly useful in situations with intrinsic constraints, such as finding the right restaurant within walking distance or the right retail item within a limited inventory. Our research prototype instantiates the former use case, leveraging real data from Google Places, Yelp, and Zomato. We evaluated our system against a similar system that did not incorporate user feedback in a 16 person remote study, generating 64 scenario-based search journeys. When our recommendation system was successfully triggered, we saw both an increase in efficiency and a higher confidence rating with respect to final user choice. We also found that users preferred our system (75%) compared with the baseline.
DOI：
10.1145/3269206.3271776
发表时间：
2018-10
期刊：
Proceedings of the 27th ACM International Conference on Information and Knowledge Management
影响因子：
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作者：
Yongfeng Zhang;Xu Chen;Qingyao Ai;Liu Yang;W. Bruce Croft
通讯作者：
Yongfeng Zhang;Xu Chen;Qingyao Ai;Liu Yang;W. Bruce Croft