%0 Conference Paper %1 Danone:2018:VRS:3172944.3172947 %A Danone, Yaakov %A Kuflik, Tsvi %A Mokryn, Osnat %B 23rd International Conference on Intelligent User Interfaces %C New York, NY, USA %D 2018 %I ACM %K information-visualization recommender %P 607--616 %R 10.1145/3172944.3172947 %T Visualizing Reviews Summaries As a Tool for Restaurants Recommendation %U http://doi.acm.org/10.1145/3172944.3172947 %X Online customers opinions about products and services, in the form of reviews, are a major part of today's web culture. However, customers, when looking for a product or service, do not have the time or the desire to read even a small part of the available product reviews (which themselves may be lengthy and not easy to read). Moreover, they often would like to examine reviews of similar products, and get a comprehensive picture of how different aspects of these products compare. In this work, by introducing a generic framework for analyzing and presenting a visual summary based on comparative sentences extracted from customer reviews, we offer the user an easy and intuitive understanding of the differences between a set of products. The contribution of this study is twofold: First, it focuses on reviews of intangible services (using the restaurant domain as a case study), unlike most of the related studies that consider physical products. Second, it combines state-of-the-art text analysis techniques with an intuitive visualization into an easy to use prototype to visualize summarized service comparisons to the users. %@ 978-1-4503-4945-1

@inproceedings{Danone:2018:VRS:3172944.3172947, abstract = {Online customers opinions about products and services, in the form of reviews, are a major part of today's web culture. However, customers, when looking for a product or service, do not have the time or the desire to read even a small part of the available product reviews (which themselves may be lengthy and not easy to read). Moreover, they often would like to examine reviews of similar products, and get a comprehensive picture of how different aspects of these products compare. In this work, by introducing a generic framework for analyzing and presenting a visual summary based on comparative sentences extracted from customer reviews, we offer the user an easy and intuitive understanding of the differences between a set of products. The contribution of this study is twofold: First, it focuses on reviews of intangible services (using the restaurant domain as a case study), unlike most of the related studies that consider physical products. Second, it combines state-of-the-art text analysis techniques with an intuitive visualization into an easy to use prototype to visualize summarized service comparisons to the users.}, acmid = {3172947}, added-at = {2018-03-09T20:41:22.000+0100}, address = {New York, NY, USA}, author = {Danone, Yaakov and Kuflik, Tsvi and Mokryn, Osnat}, biburl = {https://www.bibsonomy.org/bibtex/2c88eab911212c8caba9730e6d626fa30/brusilovsky}, booktitle = {23rd International Conference on Intelligent User Interfaces}, description = {Visualizing Reviews Summaries as a Tool for Restaurants Recommendation}, doi = {10.1145/3172944.3172947}, interhash = {3a717d4568ed122c95288298baa6d891}, intrahash = {c88eab911212c8caba9730e6d626fa30}, isbn = {978-1-4503-4945-1}, keywords = {information-visualization recommender}, location = {Tokyo, Japan}, numpages = {10}, pages = {607--616}, publisher = {ACM}, series = {IUI '18}, timestamp = {2018-03-09T20:41:22.000+0100}, title = {Visualizing Reviews Summaries As a Tool for Restaurants Recommendation}, url = {http://doi.acm.org/10.1145/3172944.3172947}, year = 2018 }