Enhancing Mobile ""How-to"" Queries with Automated Search Results Verification and Reranking

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AKLDKQFP9" target="_blank" >RIV/00216208:11320/25:KLDKQFP9 - isvavai.cz</a>

Result on the web

<a href="https://openreview.net/forum?id=EaSKCja3rr" target="_blank" >https://openreview.net/forum?id=EaSKCja3rr</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Enhancing Mobile ""How-to"" Queries with Automated Search Results Verification and Reranking

Original language description

Many people use search engines to find online guidance to solve computer or mobile device problems. Users frequently encounter challenges in identifying effective solutions from search results, often wasting time trying ineffective solutions that seem relevant yet fail to solve real problems. This paper introduces a novel approach to improving the accuracy and relevance of online technical support search results through automated search results verification and reranking. Taking ""How-to"" queries specific to on-device execution as a starting point, we developed the first solution that allows an AI agent to interpret and execute step-by-step instructions in the search results in a controlled Android environment. We further integrated the agent's findings into a reranking mechanism that orders search results based on the success indicators of the tested solutions. The paper details the architecture of our solution and a comprehensive evaluation of the system through a series of tests across various application domains. The results demonstrate a significant improvement in the quality and reliability of the top-ranked results. Our findings suggest a paradigm shift in how search engine ranking for online technical support help can be optimized, offering a scalable and automated solution to the pervasive challenge of finding effective and reliable online help.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

—

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

""

ISBN

979-8-4007-0431-4

ISSN

—

e-ISSN

—

Number of pages

11

Pages from-to

1-11

Publisher name

—

Place of publication

—

Event location

Washington DC, USA

Event date

Jan 1, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—