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pro vyhledávání: '"Malmasi A"'
In e-commerce, high consideration search missions typically require careful and elaborate decision making, and involve a substantial research investment from customers. We consider the task of identifying High Consideration (HC) queries. Identifying
Externí odkaz:
http://arxiv.org/abs/2410.13951
Autor:
Kuzi, Saar, Malmasi, Shervin
Publikováno v:
In ACM SIGIR Forum, vol. 58, no. 1, pp. 1-10. New York, NY, USA: ACM, 2024
Consumers on a shopping mission often leverage both product search and information seeking systems, such as web search engines and Question Answering (QA) systems, in an iterative process to improve their understanding of available products and reach
Externí odkaz:
http://arxiv.org/abs/2407.09653
Autor:
Senel, Lütfi Kerem, Fetahu, Besnik, Yoshida, Davis, Chen, Zhiyu, Castellucci, Giuseppe, Vedula, Nikhita, Choi, Jason, Malmasi, Shervin
Recommender systems are widely used to suggest engaging content, and Large Language Models (LLMs) have given rise to generative recommenders. Such systems can directly generate items, including for open-set tasks like question suggestion. While the w
Externí odkaz:
http://arxiv.org/abs/2406.05255
Digital assistants have become ubiquitous in e-commerce applications, following the recent advancements in Information Retrieval (IR), Natural Language Processing (NLP) and Generative Artificial Intelligence (AI). However, customers are often unsure
Externí odkaz:
http://arxiv.org/abs/2405.01738
Autor:
Fetahu, Besnik, Cohen, Nachshon, Haramaty, Elad, Lewin-Eytan, Liane, Rokhlenko, Oleg, Malmasi, Shervin
Voice assistants have become ubiquitous in smart devices allowing users to instantly access information via voice questions. While extensive research has been conducted in question answering for voice search, little attention has been paid on how to
Externí odkaz:
http://arxiv.org/abs/2404.06017
Conversational Task Assistants (CTAs) guide users in performing a multitude of activities, such as making recipes. However, ensuring that interactions remain engaging, interesting, and enjoyable for CTA users is not trivial, especially for time-consu
Externí odkaz:
http://arxiv.org/abs/2404.06659
Autor:
Patwa, Parth, Filice, Simone, Chen, Zhiyu, Castellucci, Giuseppe, Rokhlenko, Oleg, Malmasi, Shervin
Large Language Models (LLMs) operating in 0-shot or few-shot settings achieve competitive results in Text Classification tasks. In-Context Learning (ICL) typically achieves better accuracy than the 0-shot setting, but it pays in terms of efficiency,
Externí odkaz:
http://arxiv.org/abs/2404.02422
E-commerce customers frequently seek detailed product information for purchase decisions, commonly contacting sellers directly with extended queries. This manual response requirement imposes additional costs and disrupts buyer's shopping experience w
Externí odkaz:
http://arxiv.org/abs/2401.09785
E-commerce product catalogs contain billions of items. Most products have lengthy titles, as sellers pack them with product attributes to improve retrieval, and highlight key product aspects. This results in a gap between such unnatural products titl
Externí odkaz:
http://arxiv.org/abs/2310.16361
Autor:
Fetahu, Besnik, Faustini, Pedro, Castellucci, Giuseppe, Fang, Anjie, Rokhlenko, Oleg, Malmasi, Shervin
The adoption of voice assistants like Alexa or Siri has grown rapidly, allowing users to instantly access information via voice search. Query suggestion is a standard feature of screen-based search experiences, allowing users to explore additional to
Externí odkaz:
http://arxiv.org/abs/2310.17034