A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users

Algorithm 1

Input: (set of users), (User Location), (set of location categories), (Rating

Matrix), (weighted location based social network), (specific user/target user)

(to be recommended category of location)

Output: (predicted rating for category of location)

  assign ; // step of the trust walk

  assign = ; // assigning the initial point of the trust walk as

  assign extreme_depth ; // allocation of maximum steps for trust walk

  assign ratex = ;

  if ( 0)

     CUL user_location_category ()

  while ( extreme_depth)

     user = ChooseUser(user); //choose next_node from Trusted_User_Set

      as next step's target as per the probability calculated by the

      function (next_node)

    if ( has rated // == )

     ratex = ratex ;

     return ratex;

    else

     if (random(0,1) Random_Probability_of_TrustWalk //

      == extreme_depth) //end at present node

       = choose_location_category(user); //location category is choosed from

      Rated_Location_Category based on the

      probability of Rating_probability ()

         ratex = ratex ;

         return ratex;

      else

         ++;

   return ratex;