Results 41 to 50 of about 1,381,457 (160)
Ensemble-based Top-k Recommender System Considering Incomplete Data [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 Recommender systems have been widely used in e-commerce applications. They are a subclass of information filtering system, used to either predict whether a user will prefer an item (prediction problem) or identify a set of k items that will be user ...
M. Moradi, J. Hamidzadeh
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Ranking Large Temporal Data [PDF]
, 2012 Ranking temporal data has not been studied until recently, even though ranking is an important operator (being promoted as a firstclass citizen) in database systems.
Jestes, Jeffrey +3 more
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Semantic-Aware Top-k Multirequest Optimal Route
Complexity, 2019 In recent years, research on location-based services has received a lot of interest, in both industry and academic aspects, due to a wide range of potential applications.
Shuang Wang +8 more
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Shortlisting top-K assignments [PDF]
Proceedings of the 25th International Conference on Scientific and Statistical Database Management, 2013 In this paper we identify a novel query type, the top-K assignment query (αTop-K). Consider a set of objects and a set of suppliers, where each object must be assigned to one supplier. Assume that there is a cost associated with every object-supplier pair.
LIN, Yimin, MOURATIDIS, Kyriakos
openaire +2 more sources
Efficient All Top-k Computation - A Unified Solution for All Top-k, Reverse Top-k and Top-m Influential Queries [PDF]
, 2013 published_or_final_versio
Cheung, DWL, Ge, S, Mamoulis, N, U, LH
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Discovering top-weighted k-truss communities in large graphs
Journal of Big Data, 2022 Community Search is the problem of querying networks in order to discover dense subgraphs-communities-that satisfy given query parameters. Most community search models consider link structure and ignore link weight while answering the required queries.
Wafaa M. A. Habib +2 more
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Loss Functions for Top-k Error: Analysis and Insights
, 2016 In order to push the performance on realistic computer vision tasks, the number of classes in modern benchmark datasets has significantly increased in recent years.
Hein, Matthias +2 more
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Link Prediction using Top-$k$ Shortest Distances
, 2017 In this paper, we apply an efficient top-$k$ shortest distance routing algorithm to the link prediction problem and test its efficacy. We compare the results with other base line and state-of-the-art methods as well as with the shortest path. Our results
Lebedev, Andrei +3 more
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Top-k Window Aggregation Query Method for Uncertain Time Series [PDF]
Jisuanji gongchengThe analysis and mining of uncertain time series data has attracted attention in various industries. Top-k queries, a popular research Topic in the database field, aim to retrieve the Top-k results that best match a user's query conditions from large ...
ZHANG Hang, XIONG Haoran, HE Zhenying
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Securing top-k query processing in two-tiered sensor networks
Connection Science, 2021 Integrity and privacy are two important secure matrices in cyber security. Due to the limited resources and computing capability of the sensor nodes, it is challenging to simultaneously satisfy these two matrices for top-k querying in two-tiered sensor ...
Xiaoyan Kui +6 more
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