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Recommender systems / Information retrieval / Social information processing / Science / Collaborative filtering / GroupLens Research / Cold start / Information filtering system / Apache Solr / Information science / Collective intelligence / Information systems


Towards a Scalable Social Recommender Engine for Online Marketplaces: The Case of Apache Solr Dominik Kowald Emanuel Laci´c
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Document Date: 2014-08-17 22:37:53


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City

New York / Seoul / /

Company

Amazon / eBay / Blanc Noir4 / Twitter / BLANC-NOIR GmbH / Facebook / Information Retrieval Systems / Case / Linden Labs / MySQL / Intel / SphinxSearch / /

Country

Austria / United States / Korea / /

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Event

Product Release / /

Facility

Apache Solr Dominik Kowald Emanuel Laci´c Graz University of Technology Graz / Center Graz / /

IndustryTerm

recommender algorithm / linear scalability / electronic media / reviews or ratings to products / real-time recommender / large-scale search engine / online recommendation system / near realtime processing / recommendation algorithms / database systems / collaborative filtering recommender systems / real-time recommendation performance / Content-based recommendation systems / people implementing recommender systems / recommendation systems / some_product / e-commerce / data-driven services / Item-based collaborative filtering recommendation algorithms / online social networks / search strategy / software specifications / Online Marketplaces / recommender systems / social services / social online marketplaces / x3550 server / relational database management systems / text search engines / recommender algorithms / backend search solutions / mentioned recommender algorithms / social media / distributed and scalable data processing frameworks / content-based recommendation algorithms / recommendation services / data processing / kernel search engine / text search functionalities / implemented recommender algorithms / online recommender framework / search engines / retrieval software / User-based collaborative-filtering recommendation algorithms / social tagging systems / mining / online social marketplace recommender / online social network data / social network / search engine backend / adaptive web / real-time server performance / search engine / Online Social Network / retrieval systems / /

NaturalFeature

e.g. stream / G+ stream / Twitter streams / /

OperatingSystem

Ubuntu / /

Organization

Web Intelligence / Christoph Trattner Martin Kahr Denis Parra Pontificia Universidad Catolica Santiago / Apache Solr Dominik Kowald Emanuel Laci´c Graz University of Technology Graz / VLDB Endowment / UC MP / International World Wide Web Conference Committee / European Union / /

Person

Lukas Eberhard / Michael Steurer / CHI EA / Alejandro Bellogin / Alan Said / Collaborative Filtering / Martin Kahr Denis Parra Pontificia / Dominik Kowald Emanuel Laci / /

Position

editor / second author / author / tackle / Evaluator / straight-forward / /

Product

Solr / MySecondLife8 / Apache / /

ProgrammingLanguage

Java / SQL / XML / /

ProvinceOrState

New York / /

PublishedMedium

Lecture Notes in Computer Science / /

Technology

recommendation algorithms / specific algorithm / RAM / Intelligent Agent Technology / JSON / relational database / hybridization / API / User-based collaborative-filtering recommendation algorithms / recommender algorithm / search engine / Item-based collaborative filtering recommendation algorithms / recommender algorithms / Xeon E5-2620 processors / three mentioned recommender algorithms / artificial intelligence / implemented recommender algorithms / Java / 2.2 Recommender Algorithms / content-based recommendation algorithms / http / Data mining / four algorithms / SCSI / /

URL

http /

SocialTag