Academic literature on the topic 'SPEARMAN FOOTRULE DISTANCE'

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Journal articles on the topic "SPEARMAN FOOTRULE DISTANCE"

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Sipos, László, Attila Gere, József Popp, and Sándor Kovács. "A novel ranking distance measure combining Cayley and Spearman footrule metrics." Journal of Chemometrics 32, no. 4 (2018): e3011. http://dx.doi.org/10.1002/cem.3011.

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Brandenburg, Franz J., Andreas Gleißner, and Andreas Hofmeier. "The nearest neighbor Spearman footrule distance for bucket, interval, and partial orders." Journal of Combinatorial Optimization 26, no. 2 (2012): 310–32. http://dx.doi.org/10.1007/s10878-012-9467-x.

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Ansari, Mohd Zeeshan, and M. M. Sufyan Beg. "Improved Fuzzy Rank Aggregation." International Journal of Rough Sets and Data Analysis 5, no. 4 (2018): 74–87. http://dx.doi.org/10.4018/ijrsda.2018100105.

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Rank aggregation is applied on the web to build various applications like meta-search engines, consumer reviews classification, and recommender systems. Meta-searching is the generation of a single list from a collection of the results produced by multiple search engines, together using a rank aggregation technique. It is an efficient and cost-effective technique to retrieve quality results from the internet. The quality of results produced by a meta-searching relies upon the efficiency of rank aggregation technique applied. An effective rank aggregation technique assigns the rank to a documen
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Dissertations / Theses on the topic "SPEARMAN FOOTRULE DISTANCE"

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ZEESHAN, ANSARI MOHD. "IMPROVED RANK AGGREGATION." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15331.

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Multiple rankings of same object based on multiple criteria poses a problem of choice to rank that object at a position closest to all the rankings. Choosing a ranking for a list of such objects ranked previously is called rank aggregation. The aggregated ranking is analysed by computing the Kendall tau distance or Spearman Footrule distance. The ranking chosen by minimizing Spearman Footrule distance, is NP-Hard even if number of ranking lists greater than four for partial lists. In context of World Wide Web, the results generated by the multiple search engines may be collected together
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Book chapters on the topic "SPEARMAN FOOTRULE DISTANCE"

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Brandenburg, Franz J., Andreas Gleißner, and Andreas Hofmeier. "The Nearest Neighbor Spearman Footrule Distance for Bucket, Interval, and Partial Orders." In Frontiers in Algorithmics and Algorithmic Aspects in Information and Management. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21204-8_37.

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Ali, Rashid, and M. M. Sufyan Beg. "Human Computer Interaction for Effective Metasearching." In Speech, Image, and Language Processing for Human Computer Interaction. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0954-9.ch011.

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Metasearching is the process of combining search results of different search systems into a single set of ranked results which, in turn, is expected to provide us the collective benefit of using each of the participating search systems. Since, user is the direct beneficiary of the search results; this motivates the researchers in the field of Human Computer Interaction (HCI) to measure user satisfaction. A user is satisfied if he receives good quality search results in response to his query. To measure user satisfaction, we need to obtain feed back from user. This feedback might also be used to improve the quality of metasearching. The authors discuss the design of a metasearch system that is based on human computer interaction. We compare our method with two other methods Borda’s method and modified Shimura technique. The authors use Spearman’s footrule distance as the measure of comparison. Experimentally, the method performs better than the Borda’s method. The authors argue that the method is significant as it models the user feedback based metasearching and has spam-fighting capabilities.
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