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short-paper

Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for Analysts

Authors:

Aadhavan M. Nambhi,

Bhanu Prakash Reddy,

Aarsh Prakash Agarwal,

Harvineet Singh,

Iftikhar Ahamath BurhanuddinAuthors Info & Claims

UMAP '19: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization

Pages 271 - 275

https://doi.org/10.1145/3320435.3320477

Published: 07 June 2019 Publication History

Abstract

Data analytics software applications have become an integral part of the decision-making process of analysts. Users of such a software face challenges due to insufficient product and domain knowledge, and find themselves in need of help. To alleviate this, we propose a task-aware command recommendation system, to guide the user on what commands could be executed next. We rely on topic modeling techniques to incorporate information about user's task into our models. We also present a help prediction model to detect if a user is in need of help, in which case the system proactively provides the aforementioned command recommendations. We leverage the log data of a web-based analytics software to quantify the superior performance of our neural models, in comparison to competitive baselines.

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Cited By

Yang SYim JBaigutanova AKim SChang MKim J(2022)SoftVideo: Improving the Learning Experience of Software Tutorial Videos with Collective Interaction DataProceedings of the 27th International Conference on Intelligent User Interfaces10.1145/3490099.3511106(646-660)Online publication date: 22-Mar-2022
https://dl.acm.org/doi/10.1145/3490099.3511106
Schebesch KȘoim H(2022)Green Economy: Opportunities for Reshaping Personal Transportation? Between Tough Technological Choices and Induced Client BehaviorPost-Pandemic Realities and Growth in Eastern Europe10.1007/978-3-031-09421-7_16(273-288)Online publication date: 11-Oct-2022
https://doi.org/10.1007/978-3-031-09421-7_16
Aggarwal SGarg RSancheti AGuda BBurhanuddin I(2020)Goal-driven Command Recommendations for AnalystsProceedings of the 14th ACM Conference on Recommender Systems10.1145/3383313.3412255(160-169)Online publication date: 22-Sep-2020
https://dl.acm.org/doi/10.1145/3383313.3412255

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Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for Analysts

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Published In

cover image ACM Conferences

UMAP '19: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization

June 2019

377 pages

ISBN:9781450360210

DOI:10.1145/3320435

General Chairs:
George Angelos Papadopoulos
University of Cyprus, Cyprus
,
George Samaras
University of Cyprus, Cyprus
,
Stephan Weibelzahl
PFH Private University of Applied Sciences Göttingen, Germany
,
Program Chairs:
Dietmar Jannach
Alpen-Adria-Universität Klagenfurt, Austria
,
Olga C. Santos
aDeNu Research Group - UNED, Spain

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 June 2019

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Short-paper

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UMAP '19

Sponsor:

UMAP '19: 27th Conference on User Modeling, Adaptation and Personalization

June 9 - 12, 2019

Larnaca, Cyprus

Acceptance Rates

UMAP '19 Paper Acceptance Rate 30 of 122 submissions, 25%;

Overall Acceptance Rate 162 of 633 submissions, 26%

Upcoming Conference

UMAP '25

Sponsor:
sigchi
sigchi

33rd ACM Conference on User Modeling, Adaptation and Personalization

June 16 - 19, 2025

New York City , NY , USA

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Cited By

Yang SYim JBaigutanova AKim SChang MKim J(2022)SoftVideo: Improving the Learning Experience of Software Tutorial Videos with Collective Interaction DataProceedings of the 27th International Conference on Intelligent User Interfaces10.1145/3490099.3511106(646-660)Online publication date: 22-Mar-2022
https://dl.acm.org/doi/10.1145/3490099.3511106
Schebesch KȘoim H(2022)Green Economy: Opportunities for Reshaping Personal Transportation? Between Tough Technological Choices and Induced Client BehaviorPost-Pandemic Realities and Growth in Eastern Europe10.1007/978-3-031-09421-7_16(273-288)Online publication date: 11-Oct-2022
https://doi.org/10.1007/978-3-031-09421-7_16
Aggarwal SGarg RSancheti AGuda BBurhanuddin I(2020)Goal-driven Command Recommendations for AnalystsProceedings of the 14th ACM Conference on Recommender Systems10.1145/3383313.3412255(160-169)Online publication date: 22-Sep-2020
https://dl.acm.org/doi/10.1145/3383313.3412255

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