Current trajectory analysis mainly uses clustering method to mine common residence points from multi-user trajectories, calculate user similarity to find hot spots and extract public attributes of approximate people. It has no commercial value to calculate similarity for the same user, so it is seldom studied on single-user trajectory analysis. This paper presents a method of mining frequent patterns of individual user trajectories based on location semantics. The semantic trajectory is retrieved by inverse geocoding and preprocessed to obtain Top-k candidate frequent location item-sets. The frequent iteration calculation of long itemsets is transformed into regular operation of hierarchical sets by using intersection and merging methods of spatiotemporal sequences, and the frequent sequence supersets and subsets are obtained. This frequent pattern mining of semantic trajectories can actively identify and discover potential car pooling needs, and provide higher accuracy for location-based intelligent recommendation such as shared car pooling and HOV Lane travel. The results of simulation car pooling experiment prove the applicability and efficiency of this method.

Love is an eternal topic for people and there are a number of love proverbs in both Chinese and English. Love is abstract but it is a real feeling of man.Although Chinese and English love proverbs differentiate in expression, they show quite a lot of similarities in cognition.Metaphor is not only a language phenomenon but also a cognitive system and a way of thinking.Conceptual metaphor is to build a cognitive relationship between two cognition domains (concept) or to shift between two conceptual domains through the thinking of the cognitive subject.This paper first introduces the features of conceptual metaphor,then analyzes the metaphoric features of Chinese and English love proverbs,and lastly analyzes the similarities and differences of cognitive thinking between Chinese and English love proverbs from the metaphoric perspective.