product-recommendation

Can anyone recommend a good PDF reading library for .Net?

Can anyone recommend a good component for reading PDFs from .Net? Specifically, I want to read all the metadata of the document, including all the document properties (title, author, etc.). I really don't need to read the actual content of the document. Commercial products are fine. I read about PDFBox (for Java), but that seems pain...

Any good Open Source or Cheap ASP.NET Catalog Applications

We're looking for a cheap-to-free "off the shelf" ASP.NET catalogue application, that will meet the following requirements: Support two kinds of listings: Suppliers of Services Suppliers of Products, and their Products Suppliers can be categorised by: Area of specialisation - including sub-categories Location Other data, e.g. where ...

k-means clustering implementation in python, running out of memory

 Note: updates/solutions at the bottom of this question As part of a product recommendation engine, I'm trying to segment my users based on their product preferences starting with using the k-means clustering algorithm. My data is a dictionary of the form: prefs = { 'user_id_1': { 1L: 3.0f, 2L: 1.0f, }, 'user_id_2': { 4L: 1.0f...

Collaborative Filtering: Ways to determine implicit scores for products for each user?

Having implemented an algorithm to recommend products with some success, I'm now looking at ways to calculate the initial input data for this algorithm. My objective is to calculate a score for each product that a user has some sort of history with. The data I am currently collecting: User order history Product pageview history for b...

gathering user information from social networking sites

I am curious with the current api of some major social networking sites such as (facebook, twitter, myspace etc) and the willing of the user (for instance user allows a site to inspect his/her profile and giving enough privilages) would it be possible to do data inspection inorder to inspect user behaviours, patterns and thing they like...

Best similarity metric for collaborative filtering?

I'm trying to decide on the best similarity metric for a product recommendation system using item-based collaborative filtering. This is a shopping basket scenario where ratings are binary valued - the user has either purchased an item or not - there is no explicit rating system (eg, 5-stars). Step 1 is to compute item-to-item similarit...

what software to use for a web site with mostly static content

Hey dear stacklers, my company is about to redesign and relaunch their website. It will be my part to implement it. My company produces a variety of photo products and wants to present them to the end user. Most of the ~50 sites will contain static content (such as text and imagery). The layout is a simple 2-column: header, content, sid...

Amazon like Ecommerce site and Recommendation system

Hello, I am planning to implement a basic recommendation system that uses Facebook Connect or similar social networking site API's to connect a user's profile, do an analysis based on tags and use the results to generate item recommendations on my e-commerce site (works similar to Amazon). I do believe I need to divide parts into such:...

recommendation system data collection methodology

i am building a recommendation system in my application and i am probably going to use apache mahout, i ve to collect a big dataset, it ll be collected over a period of time...so which one is least expensive between collecting it in some sort of log file vs collecting in a DB and exporting it when i need it ...