美食精准搜索与智能推荐平台的设计与实现

Design and Implementation of a Gourmet Search and Recommendation Platform

本文介绍了一个美食精准搜索与智能推荐平台--逛吃街.用户可以通过该平台方便地搜索到指定区域范围内拥有一个或多个关注菜品的店铺列表,并能够根据用户的位置及选定的排序方式来对这些店铺进行智能排名与推荐,从而大大方便定制化用餐出行计划.为了获取各家店铺的相关菜品在口感、性价比和用餐环境等各方面的细粒度评价信息,本平台不仅通过大众点评获取了大量店铺的菜品及评论信息,还研究并使用了细粒度情感分析与识别算法对各家店铺的相关菜品做了细粒度评价.此外,平台还具备店铺浏览、推荐菜品查看和留言评论等基本功能,在支持ES6语法的浏览器下都可以正常访问.

This paper introduces a gourmet search and intelligent recommendation platform - Guangchi Street. With our platform, users can easily search for a list of restaurants with one or more items of interest in a specified area, and our platform would rank the restaurants according to the user's location and selected sorting way. In this way, users could draw up their customized dining plan more easily. To obtain fine-grained opinion of the public to various restaurants and their gourmet in various aspects such as taste, price/performance ratio, and dining environment, we craw the public comments to a large number of restaurants from the Dianping.com, and then conduct fine-grained opinion mining for various gourmets of different restaurants with fine-grained opinion mining techniques. In addition, the platform also supports basic functions such as shop browsing, recommended menu viewing and user commenting, which can be accessed under the browser that supports ES6 syntax.