V
Veronika Horvath
Researcher at IBM
Publications - 7
Citations - 319
Veronika Horvath is an academic researcher from IBM. The author has contributed to research in topics: Dialog system & Natural language. The author has an hindex of 6, co-authored 7 publications receiving 308 citations.
Papers
More filters
Proceedings Article
Comparative evaluation of a natural language dialog based system and a menu driven system for information access: a case study
Joyce Y. Chai,Jimmy Lin,Wlodek Zadrozny,Yiming Ye,Margo Budzikowska,Veronika Horvath,Nanda Kambhatla,Catherine G. Wolf +7 more
TL;DR: The evaluation of a natural language dialog based navigation system (HappyAssistant) that helps users access e-commerce sites to find relevant information about products and services shows that users prefer the natural language enabled navigation two to one over the menu driven navigation.
Journal ArticleDOI
Natural Language Assistant: A Dialog System for Online Product Recommendation
Joyce Y. Chai,Veronika Horvath,Nicolas Nicolov,Margo Stys,Nanda Kambhatla,Wlodek Zadrozny,Prem Melville +6 more
TL;DR: The NATURAL language ASSISTANT (NLA), a web-based natural language dialog system to help users find relevant products on electronic-commerce sites, brings together technologies in natural language processing and human-computer interaction to create a faster and more intuitive way of interacting with web sites.
Proceedings Article
Natural Language Sales Assistant - A Web-Based Dialog System for Online Sales
Joyce Y. Chai,Malgorzata Budzikowska,Veronika Horvath,Nicolas Nicolov,Nanda Kambhatla,Wlodek Zadrozny +5 more
TL;DR: This paper describes a web-based dialog system that helps users find relevant information about products and services in ecommerce sites that leverages technologies in natural language processing and human computer interaction to create a faster and more intuitive way of interacting with websites.
Journal ArticleDOI
The Role of a Natural Language Conversational Interface in Online Sales: A Case Study
Joyce Y. Chai,Jimmy Lin,Wlodek Zadrozny,Yiming Ye,Margo Stys-Budzikowska,Veronika Horvath,Nanda Kambhatla,Catherine G. Wolf +7 more
TL;DR: The evaluation of a natural language dialog-based navigation system (HappyAssistant) that helps users access e-commerce sites to find relevant information about products and services shows that users prefer the natural language-enabled navigation two to one over the menu driven navigation.
Proceedings ArticleDOI
A conversational interface for online shopping
TL;DR: A deployed, conversational dialog system that assists users in finding computers based on their usage patterns and constraints on specifications and found that the conversational interface reduced the average number of clicks and the average interaction time over a menu driven search system.