Trajectory-aware mobile search

Shahriyar Amini · A. J. Bernheim Brush · John C. Krumm · Jaime B. Teevan · Amy K. Karlson

19 citations0/0 files storedCHI Conference on Human Factors in Computing Systems

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Human Mobility and Location-Based Analysis Information Retrieval and Search Behavior Data Management and Algorithms

Abstract

Most location-aware mobile applications only make use of the user's current location, but there is an opportunity for them to infer the user's future locations. We present Trajectory-Aware Search (TAS), a mobile local search application that predicts the user's destination in real-time based on location data from the current trip and shows search results near the predicted location. TAS demonstrates the feasibility of destination prediction in an interactive mobile application. Our user study of TAS shows using predicted destinations to help select search results positively augments the local search experience.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 19 citations exist upstream.

References

2004Summary of Travel Trends 2006Because I carry my cell phone anyway

Cited by

2015Searchable Objects 2012Daily and weekly patterns in human mobility.2013iReminder: An Intuitive Location-Based Reminder That Knows Where You Are Going 2022App usage on-the-move: Context- and commute-aware next app prediction

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.