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Collaborative filtering / Information retrieval / Social information processing / Recommender system / Human behavior / Culture / Collaboration / Information science / T cells


TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 6, NO. 1, NOVEMBERLARS*: An Efficient and Scalable Location-Aware Recommender System
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Document Date: 2015-04-07 01:27:47


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City

St. Paul / Seattle / Minneapolis / Roseville / Redmond / Chicago / /

Company

the New York Times / Amazon / Netflix / Google / Facebook / CF / Pearson / Microsoft / /

Country

United States / /

Currency

USD / /

Event

Company Expansion / /

Facility

The pyramid / A pyramid / Model Building / H pyramid / University of Minnesota / /

IndustryTerm

myriad applications / road network travel distance / travel penalty techniques / burdensome travel distances / query processing algorithm / query processing / location-based social network / lowest travel / large search space / travel distance / travel distances / travel penalties / travel distance computation / recommender systems / travel penalty / Travel locality / location-based social networks / item locations using travel penalty / knearest-neighbor algorithm / query processing technique / incremental k-nearest-neighbor algorithm / computing / continuous query processing / travel penalty technique / query processing framework / reasonable travel distances / continuous query processing computation / lowest travel penalty / /

Organization

National Science Foundation / University of Minnesota / Minneapolis / /

Person

Brooklyn Park / SER R ATINGS / Mohamed F. Mokbel / LARS TABLE / Ahmed Eldawy / MAX SLEVELS / Justin J. Levandoski / /

Position

Query Model / model at the children cells / model at the parent cell / model at the four children / model at the four children cells / /

Product

LGc / /

ProgrammingLanguage

R / K / L / /

ProvinceOrState

Minnesota / Washington / Florida / /

PublishedMedium

the New York Times / /

Technology

query processing algorithm / incremental k-nearest-neighbor algorithm / 2 Travel Penalty Algorithm / knearest-neighbor algorithm / 10 Algorithm / Animation / be done using an incremental k-nearest-neighbor algorithm / /

URL

http /

SocialTag