private void AddImpl(Like like, bool import)
{
if (_likee2likers[like.LikeeId] != null)
{
var list = _likee2likers[like.LikeeId];
{
if (import)
{
var rawList = list.GetList();
int index = rawList.CustomBinarySearch(like.LikerId);
if (index < 0)
{
list.Insert(~index, like.LikerId);
}
}
else
{
if (!list.FullContains(like.LikerId))
{
list.DelayAdd(like.LikerId);
}
}
}
}
else
{
_likee2likers[like.LikeeId] = DelaySortedList <int> .CreateDefault();
_likee2likers[like.LikeeId].Load(like.LikerId);
}
DelaySortedList <LikeBucket> likes;
if (_liker2likes[like.LikerId] == null)
{
_liker2likes[like.LikerId] = new DelaySortedList <LikeBucket>(BucketIdComparer.Default);
}
likes = _liker2likes[like.LikerId];
LikeBucket bucket = new LikeBucket(like.LikeeId, like.Timestamp.Seconds, 1);
if (import)
{
var rawList = likes.GetList();
int index = rawList.BinarySearch(bucket, BucketIdComparer.Default);
if (index >= 0)
{
rawList[index] += bucket;
}
else
{
likes.Insert(~index, bucket);
}
}
else
{
likes.UpdateOrAdd(bucket, x => x + bucket);
}
}
public void Suggest(
int id,
Dictionary <int, float> similarity,
Dictionary <int, List <LikeBucket> > suggested,
HashSet <int> selfIds,
MainContext context,
short cityId,
short countryId)
{
bool curSex = context.Sex.Get(id);
DelaySortedList <LikeBucket> buckets = _liker2likes[id];
if (buckets == null)
{
return;
}
foreach (var likeePair in buckets)
{
var likers = _likee2likers[likeePair.LikeeId];
if (likers == null)
{
continue;
}
foreach (var liker in likers)
{
if (curSex != context.Sex.Get(liker))
{
continue;
}
if (cityId > 0 && cityId != context.Cities.Get(liker))
{
continue;
}
if (countryId > 0 && countryId != context.Countries.Get(liker))
{
continue;
}
float current = 0;
if (!similarity.TryGetValue(liker, out current))
{
current = 0;
}
float x = likeePair.Calc();
LikeBucket bucketY = new LikeBucket(likeePair.LikeeId, 0, 0);
var likerList = _liker2likes[liker];
bucketY = likerList.Find(bucketY);
float y = bucketY.Calc();
if (likeePair.TsSum * bucketY.Count == bucketY.TsSum * likeePair.Count)
{
current += 1.0f;
}
else
{
current += 1.0f / Math.Abs(x - y);
}
similarity[liker] = current;
}
}
for (int i = 0; i < buckets.Count; i++)
{
selfIds.Add(buckets[i].LikeeId);
}
foreach (var liker in similarity.Keys)
{
suggested.Add(liker, _liker2likes[liker].GetList());
}
}