default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDeCom@SIGIR 2023: Taipei, Taiwan
- Surya Kallumadi, Yubin Kim, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue:
Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipei, Taiwan, July 27, 2023. CEUR Workshop Proceedings 3589, CEUR-WS.org 2023 - Jinming Li, Wentao Zhang, Tian Wang, Guanglei Xiong, Alan Lu, Gerard Medioni:
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation. - Genki Kusano, Masafumi Oyamada:
Cross-Domain User Similarity without Overlapping Attributes via Optimal Transport Theory. - Bryan Zhang, Taichi Nakatani, Stephan Walter, Amita Misra, Elizabeth Milkovits:
Improve Machine Translation in E-commerce Multilingual Search with Contextual Signal from Search Sessions. - Shubham Paliwal, Bhagyashree Gaikwad, Mayur Patidar, Manasi Patwardhan, Lovekesh Vig, Meghna Mahajan, Bagya Lakshmi V, Shirish S. Karande:
Ontology Guided Supervised Contrastive Learning For Fine-grained Attribute Extraction From Fashion Images. - Jacopo Tagliabue, Ciro Greco:
(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis. - Gilad Fuchs, Pavel Petrov, Ido Ben-Shaul, Matan Mandelbrod, Oded Zinman, Dmitry Basin, Vadim Arshavsky:
Pricing the Nearly Known - When Semantic Similarity is Just not Enough. - Archit Bansal, Kunal Banerjee, Abhijnan Chakraborty:
These Deals Won't Last! Longevity, Uniformity, and Bias in Product Badge Assignment in eCommerce Platforms. - Yihong Zhang, Xiu Susie Fang, Takahiro Hara:
Real-time Integration of Social Media Background in Dynamic Recommendation Systems. - Eilon Sheetrit, Yuval Nezri, Avihai Mejer, David Carmel:
Aggregation-Based Answering for Broad Product Questions. - Yanyu Chen, Yao Yao, Wai Kin Victor Chan, Li Xiao, Kai Zhang, Liang Zhang, Yun Ye:
CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models. - Ligaj Pradhan, Le Yu, Bingxin Li, Venkata Simhadri, Jeyaprakash Singarayar:
Dynamic Filter Discovery and Ranking Framework for Search and Browse Experiences in E-Commerce. - Yupin Huang, Jiri Gesi, Xinyu Hong, Kai Zhong, Han Cheng, Vivek Mittal, Qingjun Cui, Vamsi Salaka:
Behavior-driven Query Similarity Prediction based on Pre-trained Language Models for E-Commerce Search. - Dominic Seyler, Ehsan Ebrahimzadeh, Alex Cozzi, Abraham Bagherjeiran:
Aligning Ranking Objectives with E-commerce Search Intent. - Jon Eskreis-Winkler, Yubin Kim, Andrew Stanton:
XWalk: Random Walk Based Candidate Retrieval for Product Search. - Sulagna Gope, Ravi Sugandharaju, Anup Kotalwar, Vamsi Salaka:
Measuring Feature Quality for Improved Ranking Performance. - Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork:
Exploring the Viability of Synthetic Query Generation for Relevance Prediction. - Sanat Sharma, Jayant Kumar, Jing Zheng, Tracy Holloway King:
Contextual Font Recommendations Based on User Intent. - Jyoti Narwariya, Priyanka Gupta, Garima Gupta, Lovekesh Vig, Gautam Shroff:
X4SR: Post-Hoc Explanations for Session-based Recommendations. - Pablo Zivic, Jorge Sánchez, Rafael Carrascosa:
Don't Lose Your Head(s): Model Pre-Training and Exploitation for Personalization.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-04-18 00:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
