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Earlier this week we posted a Guide to Recommender Systems, as part of our series on recommendation technologies. In this post we look at some of the challenges ...

Earlier this week we posted a Guide to Recommender Systems, as part of our series on recommendation technologies. In this post we look at some of the challenges in building or deploying a recommender system. And yes, Napoleon Dynamite is one of them.

5 punkter som er kritiske succesfaktorer for anbefalingssystemer

Various methods for doing user recommendations.

fully understand recommendation engines is there any brand application?

Le RWW inaugure une série de billets sur les systèmes de recommandations, leurs fonctionnements, les différents types de systèmes existants dans différents domaines.

raccomandazione di 1. vini 2. ristoranti 3. bar 4. film 5. libri

share n shared

Goodrec is the easiest way to make and find recommendations

Goodrec is the easiest way to get recommendations from friends for restaurants, books, movies and more. You can make and find recs from any mobile phone!

140-character reviews including restaurants including iPhone app

good site for ratings and information about anything

Now let us find you a movie!

Recommendations engine plug-in

Empfehlungs-Engine a ala Amazon

Quick implementation of the Netflix recommendation algorithm (probablistic matrix factorization) in Python.

probabalistic matrix factorisation

I test my code using synthetic data, where I first make up latent vectors for users and items, then I generate some training set ratings by multiplying some latent user vectors by latent item vectors then adding some noise. I then discard the latent vectors and just give the model the synthetic ratings.

explore the world through associative thinking

um nova tecnica para recomendação: Aplicar tecnicas especificas e juntar os resultados

Automatically builds Spotify playlists based on an artist name and the Last.fm database

year-old Netflix Prize competition, offers a grand prize of US $1 million for an algorithm that’s 10 percent more accurate than the one Netflix uses to predict customers’ movie preferences.

Netflix's bounty for improving its movie-recommendation software is almost in the bag. Here is one team's account

Bell Labs explains their strategy for solving Netflix's collaborative filtering problem.

Satnam Alag is the author of Collective Intelligence In Action, a book about how to program for recommendation engines and other collective intelligence methods in web apps.

In a recent post, we looked at recommendation systems, briefly reviewing how Amazon and Google have implemented their own systems for recommending products and content to their users. ...

Interview with "Collective Intelligence in Action" author

analysis

Four Approaches to Music Recommendations: Pandora, Mufin, Lala, and eMusic - ReadWriteWeb http://bit.ly/9gmPt0

FUN and COOKING : Any idea for tonight's meal, honey ?? http://www.whatthefuckshouldimakefordinner.com/

http://www.whatthefuckshouldimakefordinner.com/index.php

Of use if I ever teach or do any readers advisory again.