Normally I associate strings to keywords that describe them, and then store them in a database table with a structure of id int, id varchar(16), language char(2), string varchar. Then I make a PHP wra
i developed a lawyer website and looking the below mentioned: I have 5 categories and each category have 40 questions(in 4 pages with/without mandatory options).all the questions are managed by admin
I would like to know how stumbleupon recommends articles for its users?. Is it using a neural network or some sort of machine-learning algorithms or is it actually recommending articles based on wha
Have any one know recommendation algorithm in mahout for finding support and confidence from given dataset开发者_如何学编程s of User id , Item id and Item preference value..And based on that informati
In most face recognition SDK, it only provides two major functions detecting faces and extracting templates from photos, this is called detection.
can somebody please recomend me some python DBAL library that will best suit my requirements. I would like to wri开发者_Go百科te my sql statements directly, most of the logics will be in db stored pro
Our application is web-based.Our tools of trade are: Java, JDK1.6, Apache Tomcat v6.0.10, PostgreSQL v8.2.3.
I\'m building a service where a user can submit \"list\" of links he recommends/likes (articles, sites.开发者_如何转开发..etc) and the system will show him a list of other links he may like as well.
I am trying to build a poor man\'s recommendation system for a online store. I want to realize that kind of Amazon \"Customers Who Bought This Item Also Bought\" feature and I read a lot about it.
Using collaborative filtering usually applies to giving ratings to an individual user, but how would these algorithms change when nee开发者_运维百科ding to recommend an item(s) to multiple people (for
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