A Hybrid Method for Recommendation Systems based on Tourism with an Evolutionary Algorithm and Topsis Model

Recommender systems have been pervasively applied as a technique of suggesting travel recommendations to tourists. Actually, recommendation significantly contribute the decision-making process A new approach in tourism industry by combination Artificial Bee Colony (ABC) algorithm and Fuzzy TOPSIS is proposed present paper. multi-criteria method called Techniques for Order Preference Similarity Ideal Solution (TOPSIS) has purpose optimizing system. Data were gathered through 1015 online questionnaire on Facebook social media site. In first stage, model defines positive ideal solution form matrix with four columns, which indicates factors that get involved this study. second ABC starts search amongst destinations recommends best tourist spot users.