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摘要:
Shopping Search Engine(SSE)implies a unique challenge for validating distinct items available online in market place.For sellers,having a user finding relevant search results on top is very difficult.Buyers tend to click on and buy from the listings which appear first.Search engine optimization devotes that goal to influence such challenges.In current shopping search platforms,lots of irrelevant items retrieved from their indices;e.g.retrieving accessories of exact items rather than retrieving the items itself,regardless the price of item were considered or not.Also,users tend to move from shoppers to another searching for appropriate items where the time is crucial for consumers.In our proposal,we exploit the drawbacks of current shopping search engines,and the main goal of this research is to combine and merge multiple search results retrieved from some highly professional shopping sellers in the commercial market.Experimental results showed that our approach is more efficient and robust for retrieving a complete list of desired and relevant items with respect to all query space.
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篇名 Architecture of a Commercialized Search Engine Using Mobile Agents
来源期刊 人工智能进展(英文) 学科 工学
关键词 Product SEARCH Industrial Information RETRIEVAL ECOMMERCE MARKET Space
年,卷(期) 2019,(1) 所属期刊栏目
研究方向 页码范围 44-51
页数 8页 分类号 TP
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
Product
SEARCH
Industrial
Information
RETRIEVAL
ECOMMERCE
MARKET
Space
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
人工智能进展(英文)
半年刊
2661-3220
12 Eu Tong Sen Stree
出版文献量(篇)
23
总下载数(次)
0
论文1v1指导