Search History Visualization for Collaborative Web Searching

2021 ◽  
Vol 23 ◽  
pp. 100180
Author(s):  
Luyan Xu ◽  
Tetiana Tolmochava ◽  
Xuan Zhou
Author(s):  
Martin Feuz ◽  
Matthew Fuller ◽  
Felix Stalder

Web search engines have become indispensable tools for finding information online effectively. As the range of information, context and users of Internet searches has grown, the relationship between the search query, search interest and user has become more tenuous. Not all users are seeking the same information, even if they use the same query term. Thus, the quality of search results has, at least potentially, been decreasing. Search engines have begun to respond to this problem by trying to personalise search in order to deliver more relevant results to the users. A query is now evaluated in the context of a user’s search history and other data compiled into a personal profile and associated with statistical groups. This, at least, is the promise stated by the search engines themselves. This paper tries to assess the current reality of the personalisation of search results. We analyse the mechanisms of personalisation in the case of Google web search by empirically testing three commonly held assumptions about what personalisation does. To do this, we developed new digital methods which are explained here. The findings suggest that Google personal search does not fully provide the much-touted benefits for its search users. More likely, it seems to serve the interest of advertisers in providing more relevant audiences to them.


2012 ◽  
Vol 3 (2) ◽  
pp. 298-300 ◽  
Author(s):  
Soniya P. Chaudhari ◽  
Prof. Hitesh Gupta ◽  
S. J. Patil

In this paper we review various research of journal paper as Web Searching efficiency improvement. Some important method based on sequential pattern Mining. Some are based on supervised learning or unsupervised learning. And also used for other method such as Fuzzy logic and neural network


2021 ◽  
Vol 11 (15) ◽  
pp. 7063
Author(s):  
Esmaeel Rezaee ◽  
Ali Mohammad Saghiri ◽  
Agostino Forestiero

With the increasing growth of different types of data, search engines have become an essential tool on the Internet. Every day, billions of queries are run through few search engines with several privacy violations and monopoly problems. The blockchain, as a trending technology applied in various fields, including banking, IoT, education, etc., can be a beneficial alternative. Blockchain-based search engines, unlike monopolistic ones, do not have centralized controls. With a blockchain-based search system, no company can lay claims to user’s data or access search history and other related information. All these data will be encrypted and stored on a blockchain. Valuing users’ searches and paying them in return is another advantage of a blockchain-based search engine. Additionally, in smart environments, as a trending research field, blockchain-based search engines can provide context-aware and privacy-preserved search results. According to our research, few efforts have been made to develop blockchain use, which include studies generally in the early stages and few white papers. To the best of our knowledge, no research article has been published in this regard thus far. In this paper, a survey on blockchain-based search engines is provided. Additionally, we state that the blockchain is an essential paradigm for the search ecosystem by describing the advantages.


Author(s):  
Takuya Maekawa ◽  
Yutaka Yanagisawa ◽  
Yasushi Sakurai ◽  
Yasue Kishino ◽  
Koji Kamei ◽  
...  
Keyword(s):  

2007 ◽  
Vol 47 (13) ◽  
pp. 1745-1755 ◽  
Author(s):  
Christopher A. Dickinson ◽  
Gregory J. Zelinsky

2005 ◽  
Vol 56 (6) ◽  
pp. 559-570 ◽  
Author(s):  
Bernard J. Jansen ◽  
Amanda Spink ◽  
Jan Pedersen

2008 ◽  
Vol 51 (5) ◽  
pp. 32-40 ◽  
Author(s):  
Wingyan Chung
Keyword(s):  

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