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首页> 外文期刊>PSU Research Review >Measuring user’s influence in the Yelp recommender system
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Measuring user’s influence in the Yelp recommender system

机译：在Yelp推荐系统中衡量用户影响力

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Purpose Recommender systems collect information about users and businesses and how they are related. Such relation is given in terms of reviews and votes on reviews. User reviews gather opinions, rating scores and review influence. The latter component is crucial for determining which users are more relevant in a recommender system, that is, the users whose reviews are more popular than the average user’s reviews. Design/methodology/approach A model of measure of user influence is proposed based on review and social attributes of the user. User influence is also used for determining how influenced has been a business being based on popular reviews. Findings Results indicate there is a connection between social attributes and user influence. Such results are relevant for marketing, credibility estimation and Sybil detections, among others. Originality/value The proposed model allows search parameterization based on the social attribute weights of users, reviews and businesses. Such weights defines the rele...
机译：目的推荐系统收集有关用户和企业以及它们之间的关系的信息。这种关系是根据评论和评论票数给出的。用户评论收集意见，评分和评论影响力。后一部分对于确定哪些用户在推荐系统中更相关，即评论比普通用户的评论更受欢迎的用户至关重要。设计/方法/方法基于用户的评论和社会属性，提出了一种衡量用户影响力的模型。用户影响力也可用于根据受欢迎的评论来确定企业的影响力。调查结果表明，社会属性和用户影响力之间存在联系。这样的结果与市场营销，信誉评估和Sybil检测有关。原创性/价值提议的模型允许基于用户，评论和企业的社会属性权重进行搜索参数化。这样的重量定义了...

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