DISCOVER POINTS OF INTEREST BASED ON USERS’ INTERNET SEARCHES THROUGH AN INTERNET BASED SHOPPING |
Paper ID : 1305-SMPR |
Authors: |
Mahmoud Reza Delavar *1, Goshtasb Shahriari Mehr2, Christoph Claramunt3 1North Kargar Ave., After Jalal Al Ahmad Crossing, School of Surveying and Geospatial Eng., Campus 2, College of Engineering, The University of Tehran, Tehran, Iran 2GIS Department, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Iran 3Naval Academy Research Institute Lanveoc-Poulmic, BP 600, 29240 Brest Naval, France |
Abstract: |
In recent years, the development of the Internet plays a significant role in human's daily activities. One of the most important effects of the Internet is the change in the process of shopping. The advent of online shopping leads to establish a new channel for customers to obtain information about their desired goods and demands. Although many customers obtain information from this on line channel, they also wish to try to search their required goods at the stores. Besides, discovering this data leads to a new source for spatial analysis to find the users’ interests. Therefore, we can consider this data as a contextual information source for spatial analysis or primary source for recommending points of interest (POIs). In this research, our aim is to discover a relation among the users' internet searches and the goods at the stores to recommend stores to the users. Euclidean distance is used to calculate the similarity between users' searches and the available goods at the stores. The proposed method has been implemented in the city of Tehran, capital of Iran. The preliminary results verify that the users’ internet search behaviour plays an important role in the recommendation system which provides a sequence of stores to the users based on the similarity among the users’ internet searches and the available goods at the stores. |
Keywords: |
Internet behaviour, Points of Interest, Marketing, Recommendation, Similarity, Context-awareness |
Status : Conditional Accept (Oral Presentation) |