From Search Engines to Search Services: An End-User Driven Approach
Gabriela Bosetti, Sergio Firmenich (UNLP), Alejandro Fernandez, (LIFIA), Marco Winckler (UFRGS, Polytech'Lab, IRIT), Gustavo Rossi (UNLP)

TL;DR
This paper introduces a user-centric approach to transforming existing web search engines into accessible, customizable search services integrated across web applications, enhancing user interaction and search efficiency.
Contribution
It proposes a novel framework for end-user driven creation and management of pervasive search services from existing web applications, supported by a plug-in architecture.
Findings
Feasibility demonstrated through a support tool and case study.
User benefits shown in two evaluation studies.
Enhanced search interaction and customization capabilities.
Abstract
The World Wide Web is a vast and continuously changing source of information where searching is a frequent, and sometimes critical, user task. Searching is not always the user's primary goal but an ancillary task that is performed to find complementary information allowing to complete another task. In this paper, we explore primary and/or ancillary search tasks and propose an approach for simplifying the user interaction during search tasks. Rather than fo-cusing on dedicated search engines, our approach allows the user to abstract search engines already provided by Web applications into pervasive search services that will be available for performing searches from any other Web site. We also propose to allow users to manage the way in which searching results are displayed and the interaction with them. In order to illustrate the feasibility of this approach, we have built a support tool…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Database Systems and Queries · Information Retrieval and Search Behavior · Peer-to-Peer Network Technologies
