Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Kacey Ballard

dblp:152/6876 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › web search
local search
0.312017
Stranger Searching in a Strange Land: The Impact of Familiarity on Local Search · CHI 2017

Methods — techniques the papers use, named apart from their topics

survey · 0.3
YearPublicationVenuePosition
2017 Stranger Searching in a Strange Land: The Impact of Familiarity on Local Search
abstract
Local search entails looking for places, such as restaurants or hotels, in a geographically-constrained region. Within local search, it has been observed that an individual's familiarity with their environment (i.e. how well they know the area in a query of the form "{places} in {area}") impacts which places they are most interested in visiting. Less well-understood though is how people's information preferences differ during 1) different phases of the search process and 2) based on their level of familiarity. Through a series of surveys in the domain of dining, we explore how familiarity moderates what level of information is useful to an individual about restaurant location when choosing a place to visit. We further examine how these preferences vary between regions and phases of local search (deciding on a restaurant or determining how to go). We contribute an understanding of people's information preferences during search, building on prior research of how offline context impacts online needs.
Isaac L. Johnson, Victoria Schwanda Sosik, Kacey Ballard
CHI3