{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T04:28:59Z","timestamp":1729225739883,"version":"3.27.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685489","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T00:00:00Z","timestamp":1729036800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,16]]},"abstract":"<jats:p>E-commerce platforms have a vast catalog of items to cater to their customers\u2019 shopping interests. Most of these platforms assist their customers in the shopping process by offering optimized recommendation carousels, designed to help customers quickly locate their desired items. Many models have been proposed in academic literature to generate and enhance the ranking and recall set of items in these carousels. Conventionally, the accompanying carousel title text (header) of these carousels remains static. In most instances, a generic text such as \u201cItems similar to your current viewing\u201d is utilized. Fixed variations such as the inclusion of specific attributes \u201cOther items from a similar seller\u201d or \u201cItems from a similar brand\u201d in addition to \u201cfrequently bought together\u201d or \u201cconsidered together\u201d are observed as well. This work proposes a novel approach to customize the header generation process of these carousels. Our work leverages user-generated reviews that lay focus on specific attributes (aspects) of an item that were favorably perceived by users during their interaction with the given item. We extract these aspects from reviews and train a graph neural network-based model under the framework of a conditional ranking task. We refer to our innovative methodology as Dynamic Text Snippets (DTS) which generates multiple header texts for an anchor item and its recall set. Our approach demonstrates the potential of utilizing user-generated reviews and presents a unique paradigm for exploring increasingly context-aware recommendation systems.<\/jats:p>","DOI":"10.3233\/faia241071","type":"book-chapter","created":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T14:02:07Z","timestamp":1729173727000},"source":"Crossref","is-referenced-by-count":0,"title":["Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers"],"prefix":"10.3233","author":[{"given":"Shanu","family":"Vashishtha","sequence":"first","affiliation":[{"name":"Personalization and Recommendation, Walmart Global Tech, Sunnyvale, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abhay","family":"Kumar","sequence":"additional","affiliation":[{"name":"Personalization and Recommendation, Walmart Global Tech, Sunnyvale, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lalitesh","family":"Morishetti","sequence":"additional","affiliation":[{"name":"Personalization and Recommendation, Walmart Global Tech, Sunnyvale, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaushiki","family":"Nag","sequence":"additional","affiliation":[{"name":"Personalization and Recommendation, Walmart Global Tech, Sunnyvale, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kannan","family":"Achan","sequence":"additional","affiliation":[{"name":"Personalization and Recommendation, Walmart Global Tech, Sunnyvale, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2024"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA241071","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T14:02:08Z","timestamp":1729173728000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA241071"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,16]]},"ISBN":["9781643685489"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia241071","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,16]]}}}