Paper Info
Title
PocketTrend: Timely Identification and Delivery of Trending Search Content to Mobile Users
Abstract
Trending search topics cause unpredictable query load spikes that hurt the end-user search experience, particularly the mobile one, by introducing longer delays. To understand how trending search topics are formed and evolve over time, we analyze 21 million queries submitted during periods where popular events caused search query volume spikes. Based on our findings, we design and evaluate PocketTrend, a system that automatically detects trending topics in real time, identifies the search content associated to the topics, and then intelligently pushes this content to users in a timely manner. In that way, PocketTrend enables a client-side search engine that can instantly answer user queries related to trending events, while at the same time reducing the impact of these trends on the datacenter workload. Our results, using real mobile search logs, show that in the presence of a trending event, up to 13-17% of the overall search traffic can be eliminated from the datacenter, with as many as 19% of all users benefiting from PocketTrend.
Year
DOI
Venue
2015
10.1145/2736277.2741641
WWW
Keywords
Field
DocType
Web search, trend detection
Data mining,Web search query,World Wide Web,Mobile search,Search engine,Computer science,Workload,Trend detection,Search analytics
Conference
Citations 
PageRank 
References 
3
0.37
24
Authors
5
Name
Order
Citations
PageRank
Gennady Pekhimenko170628.75
Dimitrios K. Lymberopoulos21714109.98
Riva365439.32
Karin Strauss4111172.82
Doug Burger56160491.08