A survey of top-k query processing techniques in relational database systems
Efficient processing of top-k queries is a crucial requirement in many interactive
environments that involve massive amounts of data. In particular, efficient top-k processing …
environments that involve massive amounts of data. In particular, efficient top-k processing …
[PDF][PDF] Sentiwordnet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining.
In this work we present SENTIWORDNET 3.0, a lexical resource explicitly devised for
supporting sentiment classification and opinion mining applications. SENTIWORDNET 3.0 is …
supporting sentiment classification and opinion mining applications. SENTIWORDNET 3.0 is …
[KİTAP][B] Who's# 1? The science of rating and ranking
AN Langville, CD Meyer - 2012 - degruyter.com
A website's ranking on Google can spell the difference between success and failure for a
new business. NCAA football ratings determine which schools get to play for the big money …
new business. NCAA football ratings determine which schools get to play for the big money …
Towards scaling fully personalized pagerank: Algorithms, lower bounds, and experiments
D Fogaras, B Rácz, K Csalogány, T Sarlós - Internet Mathematics, 2005 - Taylor & Francis
Personalized PageRank expresses link-based page quality around userselected pages in a
similar way as PageRank expresses quality over the entire web. Existing personalized …
similar way as PageRank expresses quality over the entire web. Existing personalized …
Link analysis ranking: algorithms, theory, and experiments
The explosive growth and the widespread accessibility of the Web has led to a surge of
research activity in the area of information retrieval on the World Wide Web. The seminal …
research activity in the area of information retrieval on the World Wide Web. The seminal …
A personalized search engine based on web-snippet hierarchical clustering
In this paper we propose a hierarchical clustering engine, called snaket, that is able to
organize on-the-fly the search results drawn from 16 commodity search engines into a …
organize on-the-fly the search results drawn from 16 commodity search engines into a …
[PDF][PDF] Rank aggregation algorithms for fair consensus
Aggregating multiple rankings in a database is an important task well studied by the
database community. High-stakes application domains include hiring, lending, and …
database community. High-stakes application domains include hiring, lending, and …
Rank aggregation methods dealing with ordinal uncertain preferences
The problem of rank aggregation, also known as group-ranking, arises in many fields such
as metasearch engines, information retrieval, recommendation systems and multicriteria …
as metasearch engines, information retrieval, recommendation systems and multicriteria …
[PDF][PDF] Pageranking wordnet synsets: An application to opinion mining
This paper presents an application of PageR-ank, a random-walk model originally devised
for ranking Web search results, to ranking WordNet synsets in terms of how strongly they …
for ranking Web search results, to ranking WordNet synsets in terms of how strongly they …
Label ranking algorithms: A survey
Label ranking is a complex prediction task where the goal is to map instances to a total order
over a finite set of predefined labels. An interesting aspect of this problem is that it subsumes …
over a finite set of predefined labels. An interesting aspect of this problem is that it subsumes …