Most popular search engines personalise, whereby past searches influence present and future, results. What are the main ways a search engine personalises results and why do they do this?
Personalisation: How and why?
Google decided to personalise search as a trail on 29th March 2004. So personalisation is not a new feature.
From an information retrieval viewpoint personalisation improves retrieval effectiveness by adjusting search results based on a searcher’s interests. These interests can be observed by mining short-term or long-term behaviours.
- Short term
- Search engine mines current search session.
- Long term
- Searches from many previous sessions are mined.
Personalisation ultimately occurs to everyone but it can be reduced by making smart use of technologies, for example, incognito mode or using a cookie removing facility.
Browsing & search history
Browsing history, search history and user’s explicitly declaring their interests to a search engine all help build interest profiles. Some studies do not take a broad overview of the various technologies. This means that smaller, more obscure, technologies are simply ignored, such as, cookies, for instance. It is possible for cookies to store keywords which can help search engines to personalise results.
Read more about other personalisation technologies.
Posted by Gerald Murphy
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- Shen, X. Tan, B. Zhai, C. (2005) Context-sensitive information retrieval using implicit feedback. SIGIR. pp. 43 — 50
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- Sontag, D. Collins-Thompson, K. Bennett, P.N. White, R.W. Dumais, S.T. and von Billerback, B. (2012) Probabilistic models for personalizing web search. WSDM. pp. 433 — 442
- White, R.W. Bennett, P.N. and Dumais, S.T. (2010) Predicting short-term interests using activity-based search context. CIKM. pp. 1009 — 1018