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Task Trail: An Effective Segmentation of User
Search Behavior

ABSTRACT:

In this paper, we discussed about task trail   An Effective Segmentation of User Search Behavior to understand user search behaviors. We define a task to be user information need, whereas a task trail represents all user activities within that particular task. Also previous studies have addressed the problem of task identification, little is known about the advantage of using task over session or query for search applications. We conduct extensive analyses and comparisons to evaluate the effectiveness of task trails in several search applications.

EXISTING SYSTEM	PROPOSED SYSTEM
EXISTING CONCEPT:- In our existing methods in user search process can be used to measure user satisfaction and interests studied the relationship between implicit feedback signals and explicit user satisfaction ratings. Existing, service integrity is the most prevalent problem, which needs to be addressed no matter whether public or private data are processed by the mining system.	PROPOSED CONCEPT: In this paper, technique name the task-level search log analysis as task trail because task trail vividly reveals the image ordered tasks buried in massive search logs. Web Search logs record user activities on search engines, such as queries and clicks.
EXISTING TECHNIQUE:- Gene analysis	PROPOSED  ALGORITHM :- Bounded Spread Query Task Clustering algorithm.
TECHNIQUE DEFINITION:-    According to existing algorithm gene analysis on patterns of user behaviors, they found that the dwell time on search result pages is a good indicator for user satisfaction. Proposed to formulate the search process by Markov models.	ALGORITHM DEFINITION:- Search trails record the footprints left by users in their search processes. In the literature of studying search trails, much of previous work have applied them in the applications of user satisfaction analysis, ranking function evaluation, query suggestion, etc.
DRAWBACKS :- We introduce the definition of task as well as the process of identifying and extracting tasks from web logs in this section.	ADVANTAGES:- We introduce the definition of task as well as the process of identifying and extracting tasks from web logs in this section and as well as recommender system for this section.