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Personalized Web Search


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Personalized Web Search

  1. 1. Thanthriwatta T.M
  2. 2.  The significance of effective and efficient information retrieval. Usage of Internet and web technologies. Advent of WWW and web search engines.
  3. 3.  Generic web search engine cannot identify the different needs of different customers. The search results should be personalized to address this issue. Personalized Web Search concept was introduced.
  4. 4.  The importance of the concept of Personalized Web Search. Personal interest to study on this technological area.
  5. 5.  Ability to identify the different needs of different people who issue the same text query for web search. e.g. ‘Matrix’, ‘apple’ Yahoo used this concept in 1998 80 % of the users prefer to use personalized web search engines.
  6. 6.  User profiling  Client side implementation  Server side implementation  Content analysis Hyperlink analysis Community based PWS User location based PWS
  7. 7.  A separate user profile should be maintained for each user. User profile consists with technical, demographical and geographical informations of users. Previously visited pages, total visit time, number of visits , used links, age, gender, education, IP addresses and bookmarks etc.
  8. 8.  Search engine has to maintain user profiles by using its resources. Engine can use its all resources to optimize the search results. Allocate a huge amount of memory and computing processes to maintain millions of user profiles.
  9. 9.  Users /clients are the responsible parties for maintaining their user profiles. An installed software/plugin should be used to facilitate. Violation of privacy and security can be preserved as much as possible. Cost of storage & computing processes are distributing among users. Limitation of network bandwidth.
  10. 10.  This is under User profiling technique Check the similarity between web pages and user profile details. User interested topics and title or content of the web pages are much concerned.
  11. 11.  Most of the leading search engine use this method Crawling and ranking concepts PageRank and Biased PageRank approaches
  12. 12.  Avoid the handling of separate user profile for each user. Search engine has to find the users who have similar kinds of interests. Efficient identification increases the productivity of the collaborative web search.
  13. 13.  Groupization  Give higher weights to pages that are relevant to more members of the group. Hit-Highlighting  Users’ keywords appeared within the title, snippet or URL of each page are emphasized.
  14. 14.  Some users search things in a particular area. (by implicit local intent queries)  E.g. Italian restaurants in San Francisco It uses IP addresses mapping for identifying city name, Zip code Issues  Some names are ambiguous like Oakland  Some have distinct meanings (Mountain view)
  15. 15.  Google Custom search engine Alpha search engine Google web history tool iGoogle & My Yahoo! Yoople! Collaborative web search engine
  16. 16.  This is an area, the concept can be used in a practical manner. Identify the people in destroyed location by analyzing user profiles. Alert people, before the disaster happens by analyzing scientific stuffs.
  17. 17.  PWS is more time and effort consumable than generic web search. Violation of privacy Ethical and security issues Users’ needs are not static. Handling more complex user profiles.
  18. 18.  How to overcome the limitations. Usage of location based PWS by covering more geographical area. Query expansions Enhance PWS by using the commonsense and folksonomy.
  19. 19.  The concept of PWS is an evolving study area. Adding more techniques frequently. PWS can use for managing the real world scenario like disasters etc.