RACCOON for bill in website

[ngtson93]

client.zrevrange(similaritySet, 0, config.nearestNeighbors -1, function(err, mostSimilarUserIds){
// returns an array of the users that are least simimilar within k nearest neighbors
client.zrange(similaritySet, 0, config.nearestNeighbors -1, function(err, leastSimilarUserIds){
// iterate through the user ids to create the redis keys for all those users likes
_.each(mostSimilarUserIds, function(id, key){
setsToUnion.push([config.className,id,'liked'].join(":"));
});
// if you want to factor in the least similar least likes, you change this in config
// left it off because it was recommending items that every disliked universally
if (config.factorLeastSimilarLeastLiked){
_.each(leastSimilarUserIds, function(id, key){
setsToUnion.push([config.className,id,'disliked'].join(":"));
});
}
...
how it finds the nearest neighbor? and recommendedSet?
With k=1 it get biggest value in similaritySet
but k=3 and k=5 is not true
i changed finalJaccardScore = 1.0*(similarity / ratedInCommon)
I use RC cho web and use "for" to add more products in the bill
var oid = req.query.oid;
var ids = req.query.ids;
if (!oid || !ids){
//tra ve loi o day
returnData(res,"ERROR");
}
var uid = toUI(oid);
var arr = ids.split(",");
var c = 0;
var id = "";
var max = arr.length;
for(var i=0;i<max;i++) {
id = arr[i];
raccoon.liked(uid, id, function(results){
c++;//tan dem
if (c == max){//neu la finish cuoi cung
returnData(res,{status:"OK", msg:"Added UID = " + uid + ", ids = " + ids});
}
});
}
is it right?