The virtual real estate market has some similarities to the real estate market. One of them is that prices vary depending on the area where a parcel is located. For this reason, we implemented a neighboring weighting algorithm which significantly increased the accuracy of the model. The algorithm analyzes the historic prices for the neighbors around the LAND being evaluated and gives them a weight depending on how many times the neighboring LANDs have been sold in the past. The more a LAND has been sold, the higher its weight and the more influence it has on the LAND being evaluated.