Graph ranking algorithms are all about mapping a complex graphical structure to a numeric vector. For a given algorithm, a single numeric value in the resultant vector corresponds to the score of a particular vertex in the graph. In code, the previous structures are defined below using Groovy and Blueprints. def g = new Neo4jGraph('/tmp/neo4j'); // the graph def m = new HashMap<Vertex,Double>(); /
Thanks to the rating systems in place on such popular websites as Netflix (s NFLX), Amazon (s AMZN) and eBay (s EBAY), many people have become comfortable evaluating things in absolute terms: a two-star restaurant, a B movie and so on. But new research out of the Massachusetts Institute of Technology says that this approach to ranking things is fundamentally flawed. Recommendation systems should i
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く