Weather and time perceived personalized POI sequence recommendation method

A recommended method and weather technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as not considering the importance of weather

Active Publication Date: 2019-07-02
HUNAN UNIV
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Problems solved by technology

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  • Weather and time perceived personalized POI sequence recommendation method
  • Weather and time perceived personalized POI sequence recommendation method
  • Weather and time perceived personalized POI sequence recommendation method

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Embodiment Construction

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0064] see figure 2 with 3 As shown, the present invention provides a weather and time-aware personalized POI sequence recommendation method, comprising the following steps:

[0065] Step 1. Data preprocessing. Divide a day into five intervals, namely morning, morning, noon, afternoon and evening; collect all user travel records, and collect all POIs that have occurred into set A, where A= {a 1 ,a 2 ,...a n}; Given a user u, define his travel history as ...

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Abstract

The invention discloses a weather and time perceived personalized POI sequence recommendation method. The method comprises the following steps of 1, data preprocessing; step 2, POI popularity modeling; step 3, user interest modeling; and step 4, performing of personalized POI sequence recommendation of weather and time perception. The method has the beneficial effects that the method focuses on discussing the influence of weather and time factors on POI sequence recommendation, focuses on considering the weather factors, such as avoiding recommending outdoor POIs to users in rainy days, and focuses on considering the time factors, such as preferentially accessing gymnasiums by the users instead of accessing at night. The personalized POI sequence which is popular and maximizes the interestpreference of the user in a specific weather characteristic and time interval can be recommended to the user, so that the personalized POI sequence better conforms to an actual application scene.

Description

[0001] 【Technical field】 [0002] The invention relates to the field of community network and recommendation, in particular to a weather and time-aware personalized POI sequence recommendation method. [0003] 【Background technique】 [0004] POI (Point-of-Interest) recommendation is to recommend a single location that may be of interest to the user, and POI sequence recommendation is to recommend multiple locations in sequence to the user. POI sequence recommendation should not only meet user preferences, but also follow the coherence between POIs. The probability of a user visiting a POI is closely related to contextual information (time, space, weather, etc.). Existing POI sequence recommendations mainly consider factors such as space (near / far places), time (a popular POI at night is a bar), social interaction (the influence of friends or family members), and rarely consider weather factors. According to actual life, weather factors have a considerable impact on users' acc...

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Application Information

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IPC IPC(8): G06F16/9535
Inventor 姜文君陈晶任德盛王国军
Owner HUNAN UNIV
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