Lane-Hapori - Hapori: Context-based Local Search for Mobile...

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Hapori: Context-based Local Search for Mobile Phones using Community Behavioral Modeling and Similarity Nicholas D. Lane, Dimitrios Lymberopoulos , Feng Zhao and Andrew T. Campbell Dartmouth College, Microsoft Research { niclane,campbell } @cs.dartmouth.edu, { dlymper,zhao } @microsoft.com ABSTRACT Local search engines are very popular but limited. We present Hapori , a next-generation local search technology for mo- bile phones that not only takes into account location in the search query but richer context such as the time, weather and the activity of the user. Hapori also builds behavioral mod- els of users and exploits the similarity between users to tai- lor search results to personal tastes rather than provide static geo-driven points of interest. We discuss the design, im- plementation and evaluation of the Hapori framework which combines data mining, information preserving embedding and distance metric learning to address the challenge of cre- ating ef f cient multidimensional models from context-rich local search logs. Our experimental results using 80,000 queries extracted from search logs show that contextual and behavioral similarity information can improve the relevance of local search results by up to ten times when compared to the results currently provided by commercially available search engine technology. Author Keywords Local Search, Context-ware Mobile Search, Mobile Phone Sensing ACM Classi f cation Keywords H.4.m Information Systems Application: Miscellaneous. General Terms Design, Experimentation, Performance. INTRODUCTION Location-based services on mobile phones have been stan- dard fare for several years. People on-the-go regularly use a variety of mobile local search applications throughout their day to f nd, for example, nearby restaurants, gyms and cafes to name just a few of a growing number of local search cat- egories. Local search that takes into account the location of the phone as context for the search is perhaps one of the most exciting, popular and useful mobile applications today. Existing mobile local search engines perform well when used for a particular narrow range of queries where the relevance Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for pro f t or commercial advantage and that copies bear this notice and the full citation on the f rst page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior speci f c permission and/or a fee. Ubicomp 2010 , Sep 26-Sep 29, 2010, Copenhagen, Denmark. Copyright 2010 ACM 978-1-60558-843-8/10/09. ..$10.00. of different
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This note was uploaded on 08/25/2011 for the course EEL 6788 taught by Professor Boloni,l during the Spring '08 term at University of Central Florida.

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Lane-Hapori - Hapori: Context-based Local Search for Mobile...

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