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Publication search results
found 20 matches
- 2023
- Yihong Zhang, Xiu Susie Fang, Takahiro Hara:
Real-time Integration of Social Media Background in Dynamic Recommendation Systems. eCom@SIGIR 2023 - Archit Bansal, Kunal Banerjee, Abhijnan Chakraborty:
These Deals Won't Last! Longevity, Uniformity, and Bias in Product Badge Assignment in eCommerce Platforms. eCom@SIGIR 2023 - Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork:
Exploring the Viability of Synthetic Query Generation for Relevance Prediction. eCom@SIGIR 2023 - 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. eCom@SIGIR 2023 - Jon Eskreis-Winkler, Yubin Kim, Andrew Stanton:
XWalk: Random Walk Based Candidate Retrieval for Product Search. eCom@SIGIR 2023 - 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. eCom@SIGIR 2023 - Sulagna Gope, Ravi Sugandharaju, Anup Kotalwar, Vamsi Salaka:
Measuring Feature Quality for Improved Ranking Performance. eCom@SIGIR 2023 - 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. eCom@SIGIR 2023 - Genki Kusano, Masafumi Oyamada:
Cross-Domain User Similarity without Overlapping Attributes via Optimal Transport Theory. eCom@SIGIR 2023 - Jinming Li, Wentao Zhang, Tian Wang, Guanglei Xiong, Alan Lu, Gerard Medioni:
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation. eCom@SIGIR 2023 - Jyoti Narwariya, Priyanka Gupta, Garima Gupta, Lovekesh Vig, Gautam Shroff:
X4SR: Post-Hoc Explanations for Session-based Recommendations. eCom@SIGIR 2023 - 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. eCom@SIGIR 2023 - Ligaj Pradhan, Le Yu, Bingxin Li, Venkata Simhadri, Jeyaprakash Singarayar:
Dynamic Filter Discovery and Ranking Framework for Search and Browse Experiences in E-Commerce. eCom@SIGIR 2023 - Dominic Seyler, Ehsan Ebrahimzadeh, Alex Cozzi, Abraham Bagherjeiran:
Aligning Ranking Objectives with E-commerce Search Intent. eCom@SIGIR 2023 - Sanat Sharma, Jayant Kumar, Jing Zheng, Tracy Holloway King:
Contextual Font Recommendations Based on User Intent. eCom@SIGIR 2023 - Eilon Sheetrit, Yuval Nezri, Avihai Mejer, David Carmel:
Aggregation-Based Answering for Broad Product Questions. eCom@SIGIR 2023 - Jacopo Tagliabue, Ciro Greco:
(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis. eCom@SIGIR 2023 - Bryan Zhang, Taichi Nakatani, Stephan Walter, Amita Misra, Elizabeth Milkovits:
Improve Machine Translation in E-commerce Multilingual Search with Contextual Signal from Search Sessions. eCom@SIGIR 2023 - Pablo Zivic, Jorge Sanchez, Rafael Carrascosa:
Don't Lose Your Head(s): Model Pre-Training and Exploitation for Personalization. eCom@SIGIR 2023 - 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 [contents]
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