A Location-Based Business Information Recommendation Algorithm

Shudong Liu and Xiangwu Meng

Mathematical Problems in Engineering, 2015, vol. 2015, 1-9

Abstract:

Recently, many researches on information (e.g., POI, ADs) recommendation based on location have been done in both research and industry. In this paper, we firstly construct a region-based location graph (RLG), in which region node respectively connects with user node and business information node, and then we propose a location-based recommendation algorithm based on RLG, which can combine with user short-ranged mobility formed by daily activity and long-distance mobility formed by social network ties and sequentially can recommend local business information and long-distance business information to users. Moreover, it can combine user-based collaborative filtering with item-based collaborative filtering, and it can alleviate cold start problem which traditional recommender systems often suffer from. Empirical studies from large-scale real-world data from Yelp demonstrate that our method outperforms other methods on the aspect of recommendation accuracy.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:345480

DOI: 10.1155/2015/345480

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