Architecture of a Commercialized Search Engine Using Mobile Agents

• 作者: Falah Al-akashi
• 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）: rgznjzyw_2019,（1）
• 页码范围: 44-51
• 页数: 8页
• 分类号: TP

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.