public static string CollectRecommendations() {
string toReturn = "";
if(likeGameDataList.Count <= 0)
{
return toReturn;
}
KeywordExtractor extractor = new KeywordExtractor();
string[] res = new string[100]; //<--magic numbers, ahh!, but I'll always only pick the first so its ok
for (int j = 0; j < 100; j++)
res [j] = "";
//for entire like list, uses nrake and adds to the string the first term from each
//for now only take one of these! --> make it random I guess
//the following only executes once, so we're just taking one keyword:
{
Random rnd = new Random();
int r = rnd.Next (0, likeGameDataList.Count);
res = extractor.FindKeyPhrases (likeGameDataList [r].description);
res[1] = likeGameDataList [r].title;
toReturn = toReturn + res[0] + res [1] + " ";
}//this is a bit hacky but basically I am taking the title of the "liked" game and the most popular search term from RAKE
return toReturn;
}
/// <summary>
/// Initializes a new instance of the <see cref="TopicKeywordExtractor"/> class.
/// </summary>
/// <param name="filter">The filter<see cref="NRakeCore.StopWordFilters.IStopWordFilter"/></param>
public TopicKeywordExtractor(NRakeCore.StopWordFilters.IStopWordFilter filter) : this()
{
KeywordExtractor = new NRakeCore.KeywordExtractor(filter);
}
/// <summary>
/// Initializes a new instance of the <see cref="TopicKeywordExtractor"/> class.
/// </summary>
/// <param name="topics">The topics<see cref="List{Topic}"/></param>
/// <param name="filter">The filter<see cref="NRakeCore.StopWordFilters.IStopWordFilter"/></param>
public TopicKeywordExtractor(List <Topic> topics, NRakeCore.StopWordFilters.IStopWordFilter filter) : this(topics)
{
KeywordExtractor = new NRakeCore.KeywordExtractor(filter);
}
