Abstract: Word2vec is a high-efficiency open-source tool issued by Google,which represents a word with a float vector.We used this tool to process spatiotemporal data.Each user is represented with a float vector to predict social strength among users.To predict social strength among users more precisely,this paper proposed a location-weight algorithm that dynamically adjusts the learning rate in the process of learning with word2vec.According to the number of different users at different locations,we added location weight to the algorithm in the process of learning.Meanwhile,we explored the effect of location-weight on prediction of social strength among users.Experimental results validate perfor-mance of the proposed algorithm.

Key words: word2vec,Location weight,Social strength