Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Computational Statistics & Data Analysis - Nonlinear methods and data mining
The Journal of Machine Learning Research
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
A formal study of information retrieval heuristics
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive information retrieval using implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Relevance weighting for query independent evidence
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Detecting dominant locations from search queries
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
A large scale study of wireless search behavior: Google mobile search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Efficient query processing in geographic web search engines
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Mining long-term search history to improve search accuracy
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
ACM Transactions on Information Systems (TOIS)
Mobile information access: A study of emerging search behavior on the mobile Internet
ACM Transactions on the Web (TWEB)
A large-scale evaluation and analysis of personalized search strategies
Proceedings of the 16th international conference on World Wide Web
Deciphering Trends in Mobile Search
Computer
A diary study of mobile information needs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Deciphering mobile search patterns: a study of Yahoo! mobile search queries
Proceedings of the 17th international conference on World Wide Web
Spatial variation in search engine queries
Proceedings of the 17th international conference on World Wide Web
Discovering users' specific geo intention in web search
Proceedings of the 18th international conference on World wide web
Keyword Search on Spatial Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Fancy a Drink in Canary Wharf?: A User Study on Location-Based Mobile Search
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
Efficient retrieval of the top-k most relevant spatial web objects
Proceedings of the VLDB Endowment
ACM Transactions on Computer-Human Interaction (TOCHI)
Proceedings of the 12th ACM international conference on Ubiquitous computing
Personalizing web search using long term browsing history
Proceedings of the fourth ACM international conference on Web search and data mining
Improving local search ranking through external logs
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Understanding mobile web and mobile search use in today's dynamic mobile landscape
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Understanding the importance of location, time, and people in mobile local search behavior
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Lower-bounding term frequency normalization
Proceedings of the 20th ACM international conference on Information and knowledge management
Location-aware click prediction in mobile local search
Proceedings of the 20th ACM international conference on Information and knowledge management
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Information Retrieval
Proceedings of the 22nd international conference on World Wide Web
Opinion-based User Profile Modeling for Contextual Suggestions
Proceedings of the 2013 Conference on the Theory of Information Retrieval
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Users increasingly rely on their mobile devices to search local entities, typically businesses, while on the go. Even though recent work has recognized that the ranking signals in mobile local search (e.g., distance and customer rating score of a business) are quite different from general Web search, they have mostly treated these signals as a black-box to extract very basic features (e.g., raw distance values and rating scores) without going inside the signals to understand how exactly they affect the relevance of a business. However, as it has been demonstrated in the development of general information retrieval models, it is critical to explore the underlying behaviors/heuristics of a ranking signal to design more effective ranking features. In this paper, we follow a data-driven methodology to study the behavior of these ranking signals in mobile local search using a large-scale query log. Our analysis reveals interesting heuristics that can be used to guide the exploitation of different signals. For example, users often take the mean value of a signal (e.g., rating) from the business result list as a "pivot" score, and tend to demonstrate different click behaviors on businesses with lower and higher signal values than the pivot; the clickrate of a business generally is sublinearly decreasing with its distance to the user, etc. Inspired by the understanding of these heuristics, we further propose different transformation methods to generate more effective ranking features. We quantify the improvement of the proposed new features using real mobile local search logs over a period of 14 months and show that the mean average precision can be improved by over 7%.