Výsledky vyhledávání - "Sliwa, Alfred"

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Dataset of Natural Language Queries for E-Commerce

Autor: Papenmeier, Andrea, Kern, Dagmar, Hienert, Daniel, Sliwa, Alfred, Aker, Ahmet, Fuhr, Norbert

Publikováno v: In CHIIR '21: Proceedings of the 2021 Conference on Human Information Interaction and Retrieval

Shopping online is more and more frequent in our everyday life. For e-commerce search systems, understanding natural language coming through voice assistants, chatbots or from conversational search is an essential ability to understand what the user

Externí odkaz: http://arxiv.org/abs/2302.06355

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Starting Conversations with Search Engines -- Interfaces that Elicit Natural Language Queries

Autor: Papenmeier, Andrea, Kern, Dagmar, Hienert, Daniel, Sliwa, Alfred, Aker, Ahmet, Fuhr, Norbert

Search systems on the Web rely on user input to generate relevant results. Since early information retrieval systems, users are trained to issue keyword searches and adapt to the language of the system. Recent research has shown that users often with

Externí odkaz: http://arxiv.org/abs/2302.06349

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'A Modern Up-To-Date Laptop' -- Vagueness in Natural Language Queries for Product Search

Autor: Papenmeier, Andrea, Sliwa, Alfred, Kern, Dagmar, Hienert, Daniel, Aker, Ahmet, Fuhr, Norbert

Publikováno v: Proceedings of the 2020 ACM on Designing Interactive Systems Conference, 2020, pp. 2077-2089

With the rise of voice assistants and an increase in mobile search usage, natural language has become an important query language. So far, most of the current systems are not able to process these queries because of the vagueness and ambiguity in nat

Externí odkaz: http://arxiv.org/abs/2008.02114

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