Abstract
Search applications empower users by simple and quick access to information. However, there is also a significant amount of multi-query sessions originating from a necessity to make a decision, for instance, decide which place to visit. Consequently, the ultimate value of the information provided by a search engine is directly related to the quality of the decision made. Most of current search systems focus on providing a ranked list of information sources relevant to a user’s query, while high quality decision-making is characterized by an explicit account on feasible alternatives, reliable information, and clear trade-offs. In this paper we outline our vision on how decision-making can be enabled by enhanced Web search.
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Strasunskas, D., Tomassen, S.L. (2012). Towards Semantic Search for Improved Decision-Making. In: Abramowicz, W., Kriksciuniene, D., Sakalauskas, V. (eds) Business Information Systems. BIS 2012. Lecture Notes in Business Information Processing, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30359-3_19
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DOI: https://doi.org/10.1007/978-3-642-30359-3_19
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