Organizing User Search Histories

NANO SCIENTIFIC RESEARCH CENTRE PVT.LTD.,  AMEERPET, HYD

WWW.NSRCNANO.COM, 09640648777, 09652926926

DOT NET PROJECTS LIST--2013

DOT NET 2013 IEEE PAPERS

Organizing User Search Histories

Abstract:

            Users are increasingly pursuing complex task-oriented goals on the web, such as making travel arrangements, managing finances, or planning purchases. To this end, they usually break down the tasks into a few codependent steps and issue multiple queries around these steps repeatedly over long periods of time. To better support users in their long-term information quests on the web, search engines keep track of their queries and clicks while searching online. In this paper, we study the problem of organizing a user’s historical queries into groups in a dynamic and automated fashion. Automatically identifying query groups is helpful for a number of different search engine components and applications, such as query suggestions, result ranking, query alterations, sessionization, and collaborative search. In our approach, we go beyond approaches that rely on textual similarity or time thresholds, and we propose a more robust approach that leverages search query logs. We experimentally study the performance of different techniques, and showcase their potential, especially when combined together.

Existing System:

            Various studies on query logs reveal that only about 20 percent of queries are navigational. The rest are informational or transactional in nature. This is because users now pursue much broader informational and task oriented goals such as arranging for future travel, managing their finances, or planning their purchase decisions. However, the primary means of accessing information online is still through keyword queries to a search engine. A complex task such as travel arrangement has to be broken down into a number of codependent steps over a period of time. For instance, a user may first search on possible destinations, timeline, events, etc. After deciding when and where to go, the user may then search for the most suitable arrangements for air tickets, rental cars, lodging, meals, etc. Each step requires one or more queries, and each query results in one or more clicks on relevant pages.

Proposed System:

            In this paper, we study the problem of organizing a user’s search history into a set of query groups in an automated and dynamic fashion. Each query group is a collection of queries by the same user that are relevant to each other around a common information need. These query groups are dynamically updated as the user issues new queries, and new query groups may be created over time. To better illustrate our goal, we show in Fig. 2a a set of queries from the activity of a real user on the Bing search engine over the period of one day, together with the corresponding query groups in Fig1 the first query group contains all the queries that are related to saturn automobiles.

Software and Hardware Requirements

Hardware Required:                            

System                                    :           Pentium IV

Hard Disk                   :           80 GB

RAM                           :           512 MB

Software Required:

Operating System       :           Windows XP

Language                    :           Asp.Net, C#

Data Base                    :           SQL Server 2005

Modules:

·         Login

·         Registration

·         Uploading

·         Downloading

·         My History Of search