Analysis of User Behavior Characteristics in Search Engines

xiaoxiao2021-03-06  42

Two types of information for search engine maintenance:

Web related information (accessible through information acquisition part); user behavior information (acquired by log record)

Traditional IR technology: (Information Retrieval)

Vector space model for document

TF * IDF algorithm

--- Use the web information itself and the user behavior information supplement

--- Analysis web page with a direction map formed by super-connected

Google random surf model PageRank technology sort

IBM Clever Authoritative & Directory Page HITS Calculation Weight

Tianwanese LHN (LINK HIT NUMBER) calculation weight

User experience is small, but the number is huge - using Direct technology to track the subsequent behavior of the search results

Gray Cullis Search Engine Information Category:

Web name information; link information; artificial catalog information; user behavior information.

Basic user behavior characteristics:

Survey word distribution statistics

Attenuation of Lei Tong Query

Deviation analysis of adjacent N item query words

Turn page statistics

User Click on the distribution of URLs

Web pages; mirroring; domain name

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