Orlando / Lancaster / L. Content / Hyderabad / New York / Salt Lake City / Personalized Surplus / London / New York City / /
Company
Hotel D / Columbia University Press / Amazon / Doubletree / eBay / Expedia / Macmillan and Co. / ACM SIGIR Workshop Recommender Systems / NYC / Hilton hotels / TripAdvisor / BarnesandNoble.com / Hotel M / /
Country
United States / India / /
Currency
USD / / /
Facility
hotel A1 / New York University / Mandarin hotel / Hotel Class Review Rating / /
IndustryTerm
conceptual tool / geo-mapping search tools / family travel purpose / offer products / query processing / travel web site / database systems / subsequent online product sales / age / online user reviews / local search / online recommender systems / weighted utilities / usual travel style / travel purpose / Content-based systems / given demographic / search result / public transportation / similar products / consumer-facing applications / recommender systems / page-level search / purchase products / conference center services / different products / hotel search / real estate / predictive model using machine learning algorithms / product search / even electronics / web search using social annotations / Online search / online reviews / dummy product / online communities / parameter search / room services / usual travel purpose / reputation systems / refine search results / differentiated products / product search results / mining / particular travel purpose / luxury services / image search / different mean utilities / search engine / search results / product search engines / faceted search / profile web pages / /
Organization
Columbia University / Department of Information / Business Service / National Science Foundation / Information / Operations / and Management Sciences Leonard N. Stern School of Business / New York University New York / International World Wide Web Conference Committee / Check-in / and Business Service / /
Person
A. Principles / Daniel McFadden / Panagiotis G. Ipeirotis / Anindya Ghose / Mead Simplex / Alfred Marshall / /
Position
general US population / General / Theory Model for Product Search / representative / ranking model for product search / /
Product
Lancaster / /
ProvinceOrState
New York / /
PublishedMedium
The Computer Journal / Journal of Applied Econometrics / /
Technology
API / search engine / html / Rocchio algorithm / Terms Algorithms / Winnow algorithm / predictive model using machine learning algorithms / Nelder-Mead Simplex algorithm / ranking algorithm / /
Towards a Theory Model for Product Search ∗ Beibei Li