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In today's digital marketplace, search agents play a critical role in connecting consumers with products across the web. These advanced tools, such as Google and Amazon, continuously evolve to gather relevant data from various online stores. They analyze multiple queries, categorizing and comparing items to help users make informed decisions. By extracting vital information such as specifications and prices, search agents streamline the shopping experience. Ultimately, they compare products based on user-defined criteria, enhancing the effectiveness of online purchases.
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The Internet Shopping World And You
Search Agent (web) • A search agent scours the entire web. • Constantly Evolving and Expanding
Types of Web Search Agents • Google • Amazon • Yahoo • EBay • Wikipedia
Perception Differences • Humans see one page in native language • Computers see multiple pages in code
Tasks of the Search Agent • Find relevant products • Buying websites example • Gather all relevant stores (e.g. Amazon, EBay, Newegg) • Relative Product Types Relevant (page, url, query) ^ offer (page)
Relevant (page, url, query) E store, home, store E OnlineStores ^ Homepage (store, home) ^ link (url) ^ page = getpage (url) • Determines link is relevant to search • Relevant text for queries • Query is “laptops” thus Laptop Computers is the category. “Computer” is the super category and “lightweight” is a subcategory Name (string, category) Name (“laptops”, Laptop Computers)
Comparing Agent • After searched complete the next job lies with the comparing agent • Information extracted from pages using wrappers • User-determined qualifiers must be met Laptop Computers ^ offer E Product Offer ^ screen size ^ screen type ^ memory ^ cpu speed ^ hard drive capactiy ^ price ^ etc.
A : 2.4 GHz, 1 GB RAM, 120 GB HDD, $2100 B : 2.2 GHz, 512 MB RAM, 80 GB HDD, $1500 C : 2.2 GHz, 512 MB RAM, 80 GB HDD, $1600 • Comparison • B is better than C making C lower relevance than B