@article{1752,
  author = {Udita Gupta, Puja Jagani, Darshan Hundia, Khushali Deulkar},
  title = {Disambiguation of User Search Query},
  journal = {Journal of Information Technology Review},
  year = {2015},
  volume = {6},
  number = {2},
  doi = {},
  url = {},
  abstract = {With the advent of World Wide Web, anyone can obtain the information they want by typing in a query to the
search engine. But every human has a different thought process and the results obtained from the search engine may not
match their expectations. This happens due to ambiguous queries. This creates the need to personalize the search results in
accordance with the user preferences. To overcome the problem of ambiguous queries, we propose a new approach to collect
the user preferences. In the proposed approach, clickthrough data forms the basis of capturing the user’s interest. Clickthrough
data is analysed using three factors: the URL clicked, the parent domain of the URL and the category to which the clicked
URL belongs to. All the three factors aid in creating a dynamic user profile which is updated using implicit feedback. To
display the results, each result from search engine is assigned weight according the user profile and the results are displayed
in descending order of the weights. Thus, results which interest the user are displayed at the top. We show a detailed case
study of how the proposed approach works and also demonstrate its effectiveness in comparison to Google search results.},
}