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Archive for the ‘Recommendation’ Category

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Webinar: Recommend Restaurants Near Me: Introduction to Neo4j Spatial

March 14, 2014 at 10:00 am PDT | GeoRecommendationVideo

Max De Marzi, Senior Consultant at Neo Technology, demonstrates using a graph database to power a spatial recommendation engine   Webinar: Recommend Restaurants Near Me: Introduction to Neo4j Spatial Get your feet wet with Neo4j...

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TechCrunch
Neo4j, A Graph Database For Building Recommendation Engines, Gets A Visual Overhaul

February 3, 2014 at 10:52 pm PDT | Neo4jNewsRecommendation

Part of the problem with any powerful technology is how it is perceived. It might be something that is too early for its time or it may just need those years of development and use...

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Führende Online-Empfehlungsunternehmen weltweit nutzen Neo4j, um die Herausforderungen im Zusammenhang mit vernetzten Daten zu adressieren

May 21, 2013 at 3:59 pm PDT | German EditionPress ReleaseRecommendation

Neo Technology veranstaltet eine Webinar-Reihe zu dem Thema München, 17. Mai 2013 - Neo Technology, Entwickler der weltweit führenden Graphdatenbank Neo4j, sieht eine stetige globale Verbreitung von Neo4j bei Online-Empfehlungsunternehmen. Zu den Kunden in diesem Bereich zählen...

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Neo4j is the Graph Database of Choice for Online Recommendations Companies Worldwide

May 15, 2013 at 7:18 am PDT | Graph SearchNeo4jPress ReleaseRecommendation

CareerBuilder, Glassdoor, Cisco Systems, Bright Media Corporation and Other Leading Companies Tap into Neo4j to Solve Connected Data Challenges Registration Opens for Online Recommendations Webinars Taking Place on June 4 and June 19 SAN MATEO,...

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When Relational Isn’t Enough: Neo4j at Squidoo

October 25, 2012 at 4:56 pm PDT | Neo4jNewsRecommendationSlidesSocial

Gil Hildebrand, Chief Engineer at Squidoo, shows  how Neo4j was implemented to power Postcards, the new interest graph enabled product from popular social publishing platform Squidoo. When Relational Isn’t Enough: Neo4j at Squidoo from Gil Hildebrand

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Neo4j as a Recommendation Engine: Job Hunting

October 18, 2012 at 4:41 pm PDT | Neo4jNewsRecommendation

Max De Marzi, Graph Database enthusiast,  shows how a job candidate and a job post finds one another using Neo4j and Cypher. Does your search know about your user? Does it know what your user...

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Neo4j is Core of Recommendation Application: Jooik

August 17, 2012 at 12:40 pm PDT | German EditionNeo4jNewsRecommendation

In beta, the Jooik platform enables users to discover similar activities in their home city or places they will visit.  Using smart recommendations, powered by Neo4j, users can save favorite activities and Jooik will recommend...

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Neo4J Recommendation engine for movies

June 21, 2012 at 8:37 am PDT | Customer StoriesGraph DatabasesNeo4jRecommendation

This project is a basic tutorial to discover Neo4J and Cypher. It’s hosted on github. With this project, Florent Empis has built a Movie recommender using the Cypher query language. This query language has a very low barrier...

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YouGuv
Opigram: OpenCredo discusses a social recommendation engine

June 15, 2012 at 8:22 am PDT | Customer StoriesGraph DatabasesNeo4jRecommendationSocialVideo

Nicki Watt of OpenCredo presents the lessons learned (and being learned) on an active Neo4j project: Opigram. Opigram is a socially oriented recommendation engine which is already live, with some 150k users and growing. 0614...

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Neo4j Tales from the Trenches: A Recommendation Engine Case Study

May 29, 2012 at 8:00 am PDT | Customer StoriesGraph DatabasesNeo4jRecommendationVideo

Nicki Watt and Michal Bachman present the lessons learned (and being learned) on an active Neo4J project – Opigram. Opigram is a socially orientated recommendation engine which is already live, with some 150k users and...

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Case Study: Real Time Recommendations with a Graph Database

May 17, 2012 at 4:47 pm PDT | Customer StoriesGraph DatabasesNeo4jRecommendation

Case Study: Real-time Recommendations with a Graph Database Whether you want to be Facebook or are selling shoelaces online, if you have users then you have a social graph. Reveal the hidden graph in your...

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Moviepilot recommends movies faster with Neo4j

May 1, 2012 at 6:58 am PDT | Case StudyCustomersRecommendation

Moviepilot is a home for upcoming movies, and for movie fans around the world. Industry: Media Use Case: Recommendation Engine Moviepilot is revolutionizing the way the movie entertainment industry promotes projects. Encouraging the movie industry...

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Wazoku Integrates Neo4j Seamlessly in its Polyglot Solution

March 25, 2012 at 3:44 pm PDT | Case StudyCustomersRecommendationSocial

Wazoku is a Software-as-a-Service (SaaS) product for the capture of employee ideas and innovation with social collaboration features for idea evaluation. Industry:  Web Services Use Case:  Recommendation Engine Most businesses agree that their employees are...

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Viadeo competes with LinkedIn while using Neo4j as its modern database

March 25, 2012 at 3:32 pm PDT | Case StudyCustomersRecommendationSocial

With representatives in all five continents, the Viadeo Group offers network development solutions and business opportunities at both a local and global level to over 35 million professionals. Industry: Professional Network Use Case:  Social Graph...

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megree chooses Neo4j for its scalability, REST API, high availability

March 24, 2012 at 3:27 pm PDT | Case StudyCustomersRecommendationSocial

megree, a social business SaaS offering, focuses on showing how you are connected to anyone else. As a business solution, megree loads your connections and the connections of your co-workers, and allows them to be...

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CareerArc Group resolves slow SQL Server issues with Neo4j

March 23, 2012 at 3:02 pm PDT | Case StudyCustomersRecommendation

Career Arc Group serves as the next generation of social recruiting solutions for job seekers, college students, employers and higher education institutions. Industry: Social and Professional Networks Use Case: Recommendation Engine Finding a job in...

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