Java Code Examples for it.unimi.dsi.fastutil.longs.LongArrayList#addAll()

The following examples show how to use it.unimi.dsi.fastutil.longs.LongArrayList#addAll() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: RecentlyClickedPostFiltering.java    From StreamingRec with Apache License 2.0 6 votes vote down vote up 
@Override
public LongArrayList recommendInternal(ClickData clickData) {
	//filter out items that have not received at last one click in the last time frame
	//first, retrieve the recommendation results of the underlying algorithm
	LongArrayList rec = mainStrategy.recommendInternal(clickData);
	
	//create lists of filtered items and retained items
	LongArrayList filteredRec = new LongArrayList();
	LongArrayList filteredRecNotMatch = new LongArrayList();
	//iterate over the recommendation list of the underlying strategy
	for (int j = 0; j < rec.size(); j++) {
		long i = rec.getLong(j);
		//filter items whose last-clicked timestamp is too old
		if ((itemClickTime.containsKey(i)) && ((clickData.click.timestamp.getTime()-itemClickTime.get(i))<filterTime)) {
			filteredRec.add(i);
		} else if (fallback) {
			//if we have a fallback, add the filtered item to the fallback list
			filteredRecNotMatch.add(i);
		}
	}
	//merge the filtered list with the fallback list (empty in case fallback==false)
	filteredRec.addAll(filteredRecNotMatch);
	//return the filtered list
	return filteredRec;
}
Example 2
Source File: PopularityPostFiltering.java    From StreamingRec with Apache License 2.0 6 votes vote down vote up 
@Override
public LongArrayList recommendInternal(ClickData clickData) {
	//filter out items with low overall click counts
	//first, retrieve the recommendation results of the underlying algorithm
	LongArrayList rec = mainStrategy.recommendInternal(clickData);
	
	//create lists of filtered items and retained items
	LongArrayList filteredRec = new LongArrayList();
	LongArrayList filteredRecNotMatch = new LongArrayList();
	//iterate over the recommendation list of the underlying strategy
	for (int j = 0; j < rec.size(); j++) {
		long i = rec.getLong(j);
		//filter items if they do not have enough clicks
		if ((itemClickCount.containsKey(i)) && (itemClickCount.get(i) >= minClickCount)) {
			filteredRec.add(i);
		} else if (fallback) {
			//if we have a fallback, add the filtered item to the fallback list
			filteredRecNotMatch.add(i);
		}
	}
	//merge the filtered list with the fallback list (empty in case fallback==false)
	filteredRec.addAll(filteredRecNotMatch);
	//return the filtered list
	return filteredRec;
}
Example 3
Source File: RecencyPostFiltering.java    From StreamingRec with Apache License 2.0 5 votes vote down vote up 
@Override
public LongArrayList recommendInternal(ClickData clickData) {
	//filter out items that have been release too long ago
	//first, retrieve the recommendation results of the underlying algorithm
	LongArrayList rec = mainStrategy.recommendInternal(clickData);
	
	//create lists of filtered items and retained items
	LongArrayList filteredRec = new LongArrayList();
	LongArrayList filteredRecNotMatch = new LongArrayList();
	//iterate over the recommendation list of the underlying strategy
	for (int j = 0; j < rec.size(); j++) {
		long i = rec.getLong(j);
		// filter item based on the difference between the current (simulation) time and
		// the time of publication
		if ((clickData.click.timestamp.getTime() - timestampMap.get(i)) <= filterTime
				&& (clickData.click.timestamp.getTime() - timestampMap.get(i)) > 0) {
			filteredRec.add(i);
		} else if (fallback) {
			//if we have a fallback, add the filtered item to the fallback list
			filteredRecNotMatch.add(i);
		}
	}
	//merge the filtered list with the fallback list (empty in case fallback==false)
	filteredRec.addAll(filteredRecNotMatch);
	//return the filtered list
	return filteredRec;

}