IMPLEMENTASI ALGORITMA SQUEEZER DAN TERM FREQUENCY RANKING DALAM PEMBANGUNAN SISTEM REKOMENDASI TEMPAT MAKAN
Abstrak: Food is something
that can not be separated from the life of every human being. Its variation
makes a lot of people interested in tasting many types of food, even they have
not known yet. The detail information of restaurants, especially their location
could be a problem. So, the restaurants recommendation website is made to help
them. The recommendations are given by the Squeezer algorithm using the user’s
input as references. The accuracy of the given recommendations are determined from
the amount and consistency of the user at the time of selecting the item. The
Term Frequency Ranking is used as a searching feature to display the search
results in ordered manner by their relevancy rank. Experiment result shows that
the Term Frequency Ranking gives high value of Recall, 1, and 0.46 for the
Precision value.
Penulis: Vincentius Wirawan,
Seng Hansun, Hargyo Tri Nugroho I.
Kode Jurnal: jptkomputerdd140330