Search results for "top-N"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
41	Yuxi Chen, Weiyi Meng	Top-N Query: Query Language, Distance Function, and Processing Strategies.	WAIM	2003	DBLP DOI BibTeX RDF	Top-N query, query processing, query language, distance function
32	Mohsen Jamali, Martin Ester	Using a trust network to improve top-N recommendation.	RecSys	2009	DBLP DOI BibTeX RDF	top-N, trust, recommendation
32	Henk Ernst Blok, Arjen P. de Vries, Henk M. Blanken, Peter M. G. Apers	Experiences with IR TOP N Optimization in a Main Memory DBMS: Applying 'the Database Approach' in New Domains.	BNCOD	2001	DBLP DOI BibTeX RDF	top-N, multimedia, databases, indexing, query optimization, content based retrieval
28	Klaus Seyerlehner, Arthur Flexer, Gerhard Widmer	On the limitations of browsing top-N recommender systems.	RecSys	2009	DBLP DOI BibTeX RDF	catalog coverage, top-N recommender systems, browsing, reachability, long tail
21	Mi Zhang 0001	Enhancing diversity in Top-N recommendation.	RecSys	2009	DBLP DOI BibTeX RDF	Top-N recommendation, evaluation, diversity, strategy
20	Lingpeng Yang, Dong-Hong Ji, Nie Yu, Guodong Zhou	Document Re-ordering Based on Key Terms in Top Retrieved Documents.	CICLing	2005	DBLP DOI BibTeX RDF
20	Lingpeng Yang, Dong-Hong Ji, Guodong Zhou, Nie Yu	Improving Retrieval Effectiveness by Using Key Terms in Top Retrieved Documents.	ECIR	2005	DBLP DOI BibTeX RDF
20	Lei Shi 0001, Zhimin Gu, Lin Wei, Yun Shi	Quantitative Analysis of Zipf's Law on Web Cache.	ISPA	2005	DBLP DOI BibTeX RDF	Zipf’s law, Top-N, Web Cache, Web Prefetching
19	Keisuke Ishibashi, Tatsuya Mori, Ryoichi Kawahara, Yutaka Hirokawa, Atsushi Kobayashi, Kimihiro Yamamoto, Hitoaki Sakamoto	Estimating Top N Hosts in Cardinality Using Small Memory Resources.	ICDE Workshops	2006	DBLP DOI BibTeX RDF
19	Huseyin Polat 0001, Wenliang Du	Privacy-Preserving Top-N Recommendation on Horizontally Partitioned Data.	Web Intelligence	2005	DBLP DOI BibTeX RDF
19	Liang Zhu, Weiyi Meng	Learning-Based Top-N Selection Query Evaluation over Relational Databases.	WAIM	2004	DBLP DOI BibTeX RDF
19	Wen Jin, Anthony K. H. Tung, Jiawei Han 0001	Mining top-n local outliers in large databases.	KDD	2001	DBLP DOI BibTeX RDF
17	Franziska Scherpinski, Stefan Lessmann	Personalization in E-Grocery: Top-N versus Top-k Rankings.	CoRR	2021	DBLP BibTeX RDF
17	Mejdl S. Safran, Dunren Che	Efficient Learning-Based Recommendation Algorithms for Top-N Tasks and Top-N Workers in Large-Scale Crowdsourcing Systems.	ACM Trans. Inf. Syst.	2019	DBLP DOI BibTeX RDF
17	Wissem Labbadi, Jalel Akaichi	Efficient Top-k Query Answering through its Top-N Rewritings Using Views.	PIKM@CIKM	2015	DBLP BibTeX RDF
17	Arbee L. P. Chen	On top-n reverse top-k queries: Variants, algorithms, and applications.	GrC	2011	DBLP DOI BibTeX RDF
15	Yoshiaki Okubo, Makoto Haraguchi	Finding Top-N Pseudo Formal Concepts with Core Intents.	MLDM	2009	DBLP DOI BibTeX RDF
15	Sebastián Peña Saldarriaga, Emmanuel Morin, Christian Viard-Gaudin	Using top n Recognition Candidates to Categorize On-line Handwritten Documents.	ICDAR	2009	DBLP DOI BibTeX RDF
15	Jae-Jin Kim, Bon-Woo Hwang, Seong-Whan Lee	Retrieval of the Top N Matches with Support Vector Machines.	ICPR	2000	DBLP DOI BibTeX RDF
12	Xavier Amatriain, Neal Lathia, Josep M. Pujol, Haewoon Kwak, Nuria Oliver	The wisdom of the few: a collaborative filtering approach based on expert opinions from the web.	SIGIR	2009	DBLP DOI BibTeX RDF	top-n recommendations, recommender system, collaborative filtering, nearest neighbors, experts, cosine similarity
12	Liang Zhu, Chunnian Liu, Yanchao Feng, Shenda Ji	Evaluation of a Stream of Top-N Selection Queries in Relational Databases.	WAIM	2008	DBLP DOI BibTeX RDF
12	YoungOk Kwon	Improving top-n recommendation techniques using rating variance.	RecSys	2008	DBLP DOI BibTeX RDF	rating variance, recommendation filtering, recommendation ranking, diversity, accuracy
12	Aixiang Li, Makoto Haraguchi, Yoshiaki Okubo	Implicit Groups of Web Pages as Constrained Top N Concepts.	Web Intelligence/IAT Workshops	2008	DBLP DOI BibTeX RDF
12	Chongsheng Zhang, Zhongbo Wu, Bo Qu, Hong Chen 0001	Mining Top-n Local Outliers in Constrained Spatial Networks.	ADMA	2008	DBLP DOI BibTeX RDF
12	James Zijun Wang, Zhidian Du, Philip S. Yu, Chin-Fu Chen	An Efficient Online Tool to Search Top-N Genes with Similar Biological Functions in Gene Ontology Database.	BIBM	2007	DBLP DOI BibTeX RDF
12	Makoto Haraguchi, Yoshiaki Okubo	An Extended Branch and Bound Search Algorithm for Finding Top- N Formal Concepts of Documents.	JSAI	2006	DBLP DOI BibTeX RDF
12	Yoshiaki Okubo, Makoto Haraguchi	Finding Conceptual Document Clusters with Improved Top-N Formal Concept Search.	Web Intelligence	2006	DBLP DOI BibTeX RDF
12	Yoshiaki Okubo, Makoto Haraguchi	Creating Abstract Concepts for Classification by Finding Top- N Maximal Weighted Cliques.	Discovery Science	2003	DBLP DOI BibTeX RDF
10	Mi Zhang 0001, Neil Hurley	Avoiding monotony: improving the diversity of recommendation lists.	RecSys	2008	DBLP DOI BibTeX RDF	recommender system, metrics, diversity, accuracy, novelty
8	Shih-Han Chen, Sok-Ian Sou, Hsun-Ping Hsieh	Top-N music recommendation framework for precision and novelty under diversity group size and similarity.	J. Intell. Inf. Syst.	2024	DBLP DOI BibTeX RDF
8	Lukas Wegmeth, Tobias Vente, Lennart Purucker	Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems.	CoRR	2024	DBLP DOI BibTeX RDF
8	Benedikt Hornig, Maria Soledad Pera, Jan Scholtes	Misinformation in video recommendations: an exploration of top-n tecommendation algorithms.	ROMCIR@ECIR	2024	DBLP BibTeX RDF
8	Lukas Wegmeth, Tobias Vente, Lennart Purucker	Revealing the Hidden Impact of Top-N Metrics on Optimization in Recommender Systems.	ECIR (1)	2024	DBLP DOI BibTeX RDF
8	Mouloud Iferroudjene, Corentin Lonjarret, Céline Robardet, Marc Plantevit, Martin Atzmueller	Methods for explaining Top-N recommendations through subgroup discovery.	Data Min. Knowl. Discov.	2023	DBLP DOI BibTeX RDF
8	Aleksandra Klasnja-Milicevic, Dejan Milicevic	Top-N Knowledge Concept Recommendations in MOOCs Using a Neural Co-Attention Model.	IEEE Access	2023	DBLP DOI BibTeX RDF
8	Victor Coscrato, Derek G. Bridge	Estimating and Evaluating the Uncertainty of Rating Predictions and Top-n Recommendations in Recommender Systems.	Trans. Recomm. Syst.	2023	DBLP DOI BibTeX RDF
8	Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang 0009, Ji-Rong Wen	A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms.	ACM Trans. Inf. Syst.	2023	DBLP DOI BibTeX RDF
8	Hui Wang 0072, Kun Zhou 0002, Xin Zhao 0018, Jingyuan Wang, Ji-Rong Wen	Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation.	ACM Trans. Inf. Syst.	2023	DBLP DOI BibTeX RDF
8	P. Bhuvaneshwari, A. Nagaraja Rao, Y. Harold Robinson	Top-N Recommendation System Using Explicit Feedback and Outer Product Based Residual CNN.	Wirel. Pers. Commun.	2023	DBLP DOI BibTeX RDF
8	P. Bhuvaneshwari, A. Nagaraja Rao, Y. Harold Robinson	Correction to: Top-N Recommendation System Using Explicit Feedback and Outer Product Based Residual CNN.	Wirel. Pers. Commun.	2023	DBLP DOI BibTeX RDF
8	Yankai Chen 0001, Yixiang Fang, Yifei Zhang, Irwin King	Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space.	CoRR	2023	DBLP DOI BibTeX RDF
8	Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko	On (Normalised) Discounted Cumulative Gain as an Offline Evaluation Metric for Top-n Recommendation.	CoRR	2023	DBLP DOI BibTeX RDF
8	Ming-Hao Juan, Pu-Jen Cheng, Hui-Neng Hsu, Pin-Hsin Hsiao	Attentive Graph-based Text-aware Preference Modeling for Top-N Recommendation.	CoRR	2023	DBLP DOI BibTeX RDF
8	Ngozi Ihemelandu, Michael D. Ekstrand	Candidate Set Sampling for Evaluating Top-N Recommendation.	CoRR	2023	DBLP DOI BibTeX RDF
8	Edoardo D'Amico, Aonghus Lawlor, Neil Hurley	Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation.	CoRR	2023	DBLP DOI BibTeX RDF
8	En Xu, Zhiwen Yu 0001, Ying Zhang 0047, Bin Guo 0001, Lina Yao 0001	Limits of Predictability in Top-N Recommendation.	CoRR	2023	DBLP DOI BibTeX RDF
8	Min-Ji Seo, Myung-Ho Kim	Attentive Flexible Translation Embedding in Top-N Sparse Sequential Recommendations.	Int. J. Interact. Multim. Artif. Intell.	2023	DBLP DOI BibTeX RDF
8	Hakan Yilmazer, Selma Ayse Özel	ImposeSVD: Incrementing PureSVD For Top-N Recommendations for Cold-Start Problems and Sparse Datasets.	Comput. J.	2023	DBLP DOI BibTeX RDF
8	Yankai Chen 0001, Yixiang Fang, Yifei Zhang, Irwin King	Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space.	WWW	2023	DBLP DOI BibTeX RDF
8	Wei Liu 0061, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin 0001	Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation.	DASFAA (2)	2023	DBLP DOI BibTeX RDF
8	Jiakai Tang, Shiqi Shen, Zhipeng Wang, Zhi Gong, Jingsen Zhang, Xu Chen 0017	When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation.	RecSys	2023	DBLP DOI BibTeX RDF
8	Yang Liu 0254, Alan Medlar, Dorota Glowacka	On the Consistency, Discriminative Power and Robustness of Sampled Metrics in Offline Top-N Recommender System Evaluation.	RecSys	2023	DBLP DOI BibTeX RDF
8	Edoardo D'Amico, Aonghus Lawlor, Neil Hurley	Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation.	PAKDD (3)	2023	DBLP DOI BibTeX RDF
8	Ngozi Ihemelandu, Michael D. Ekstrand	Candidate Set Sampling for Evaluating Top-N Recommendation.	WI/IAT	2023	DBLP DOI BibTeX RDF
8	Jie Zhou	Collaborative information and semantic information Fusion over Heterogeneous information Network for Top-N Recommendation System.	CCRIS	2023	DBLP DOI BibTeX RDF
8	Tugba Turkoglu Kaya, Cihan Kaleli	A novel top-n recommendation method for multi-criteria collaborative filtering.	Expert Syst. Appl.	2022	DBLP DOI BibTeX RDF
8	YeongWook Yang, Jaechoon Jo, Heuiseok Lim	Unifying user preference and item knowledge-based similarity models for top-N recommendation.	Pers. Ubiquitous Comput.	2022	DBLP DOI BibTeX RDF
8	Lifang Ren, Wenjian Wang	A Granular SVM-Based Method for Top-N Web Services Recommendation.	IEEE Trans. Serv. Comput.	2022	DBLP DOI BibTeX RDF
8	Sofia Aftab, Heri Ramampiaro	Evaluating Top-N Recommendations Using Ranked Error Approach: An Empirical Analysis.	IEEE Access	2022	DBLP DOI BibTeX RDF
8	Bharti Sharma, Adeel Hashmi, Charu Gupta, Osamah Ibrahim Khalaf, Ghaida Muttashar Abdulsahib, Malakeh Muhyiddeen Itani	Hybrid Sparrow Clustered (HSC) Algorithm for Top-N Recommendation System.	Symmetry	2022	DBLP DOI BibTeX RDF
8	Jae-woong Lee, Minjin Choi 0001, Lee Sael, Hyunjung Shim, Jongwuk Lee	Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation.	Knowl. Inf. Syst.	2022	DBLP DOI BibTeX RDF
8	Songyang Li, Haipeng Yu, Miao Wang	Cat swarm optimization algorithm based on the information interaction of subgroup and the top-N learning strategy.	J. Intell. Syst.	2022	DBLP DOI BibTeX RDF
8	Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Azzurra Ragone, Joseph Trotta	Semantic Interpretation of Top-N Recommendations.	IEEE Trans. Knowl. Data Eng.	2022	DBLP DOI BibTeX RDF
8	Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo	Top-N Recommendation Algorithms: A Quest for the State-of-the-Art.	CoRR	2022	DBLP DOI BibTeX RDF
8	Parshin Shojaee, Xiaoyu Chen, Ran Jin	Adaptively Weighted Top-N Recommendation for Organ Matching.	ACM Trans. Comput. Heal.	2022	DBLP DOI BibTeX RDF
8	Ngozi Ihemelandu	Best Practices for Top-N Recommendation Evaluation: Candidate Set Sampling and Statistical Inference Techniques.	CIKM	2022	DBLP DOI BibTeX RDF
8	Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo	Top-N Recommendation Algorithms: A Quest for the State-of-the-Art.	UMAP	2022	DBLP DOI BibTeX RDF
8	Yunfei Zheng, Yuxiang Zhang 0002, Jianhua Zhang 0001, Liang Xia, Tao Jiang 0025	ResNet-Based Top-N Transmit Antenna Selection Algorithm for Massive MIMO Systems.	VTC Spring	2022	DBLP DOI BibTeX RDF
8	Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini	Logic Tensor Networks for Top-N Recommendation.	NeSy	2022	DBLP BibTeX RDF
8	Yifei Zhou, Conor Hayes	Graph-Based Diffusion Method for Top-N Recommendation.	AICS	2022	DBLP DOI BibTeX RDF
8	Gang Tian, Qiuyue Yu, Hongjuan Yang, Rui Wang 0082	A Smart Contract Top-N Recommendation Method Based on Implicit Feedback.	RICAI	2022	DBLP DOI BibTeX RDF
8	Lien Michiels, Robin Verachtert, Bart Goethals	RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data.	RecSys	2022	DBLP DOI BibTeX RDF
8	Ryosuke Taniguchi, Daichi Amagata, Takahiro Hara	Retrieving Top-N Weighted Spatial k-cliques.	IEEE Big Data	2022	DBLP DOI BibTeX RDF
8	Yang Sun, Fajie Yuan, Min Yang 0007, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao 0005	Enhancing Top-N Item Recommendations by Peer Collaboration.	SIGIR	2022	DBLP DOI BibTeX RDF
8	Xiaoming Liu 0011, Shaocong Wu, Zhaohan Zhang, Chao Shen 0001	Unify Local and Global Information for Top-N Recommendation.	SIGIR	2022	DBLP DOI BibTeX RDF
8	Tommaso Carraro, Mirko Polato, Luca Bergamin, Fabio Aiolli	Conditioned Variational Autoencoder for Top-N Item Recommendation.	ICANN (2)	2022	DBLP DOI BibTeX RDF
8	Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini	Logic Tensor Networks for Top-N Recommendation.	AI*IA	2022	DBLP DOI BibTeX RDF
8	Clément Vignac, Pascal Frossard	Top-N: Equivariant Set and Graph Generation without Exchangeability.	ICLR	2022	DBLP BibTeX RDF
8	Fangyuan Luo, Jun Wu 0007, Tao Wang	Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback.	IJCAI	2022	DBLP DOI BibTeX RDF
8	Tugba Turkoglu Kaya	Çok ölçütlü oy değerleri üzerinde en iyi-N öneri sistemi ve şilin atakların etkisi (Top-N recommender system and effect of shilling attack onmulti-criteria rating values)		2022	RDF
8	Mukul Gupta, Rajhans Mishra	Spreading the information in complex networks: Identifying a set of top-N influential nodes using network structure.	Decis. Support Syst.	2021	DBLP DOI BibTeX RDF
8	Walaa Hassan Elashmawi, Ahmed Fouad Ali, Adam Slowik	Hybrid crow search and uniform crossover algorithm-based clustering for top-N recommendation system.	Neural Comput. Appl.	2021	DBLP DOI BibTeX RDF
8	Liang Zhang, Liang Zhang 0030	Top-N recommendation algorithm integrated neural network.	Neural Comput. Appl.	2021	DBLP DOI BibTeX RDF
8	Caihong Liu, Chonghui Guo	Mining top-N high-utility operation patterns for taxi drivers.	Expert Syst. Appl.	2021	DBLP DOI BibTeX RDF
8	Wang Zhou 0001, Yujun Yang, Yajun Du, Amin Ul Haq	Pairwise deep learning to rank for top-N recommendation.	J. Intell. Fuzzy Syst.	2021	DBLP DOI BibTeX RDF
8	Ethem Çanakoglu, Ibrahim Muter, Tevfik Aytekin	Integrating Individual and Aggregate Diversity in Top-N Recommendation.	INFORMS J. Comput.	2021	DBLP DOI BibTeX RDF
8	Wang Zhou 0001, Jianping Li, Yujun Yang, Fadia Shah	Leverage side information for top-N recommendation with latent Gaussian process.	Concurr. Comput. Pract. Exp.	2021	DBLP DOI BibTeX RDF
8	Jingjing Wang, Haoran Xie 0001, Fu Lee Wang, Lap-Kei Lee, Oliver Tat Sheung Au	Top-N personalized recommendation with graph neural networks in MOOCs.	Comput. Educ. Artif. Intell.	2021	DBLP DOI BibTeX RDF
8	Zhuoyi Lin, Lei Feng 0006, Rui Yin 0002, Chi Xu, Chee Keong Kwoh 0001	GLIMG: Global and local item graphs for top-N recommender systems.	Inf. Sci.	2021	DBLP DOI BibTeX RDF
8	Ming-Yang Zhou 0001, Rong-Qin Xu, Zi-Ming Wang, Hao Liao	A generic Bayesian-based framework for enhancing top-N recommender algorithms.	Inf. Sci.	2021	DBLP DOI BibTeX RDF
8	Nengjun Zhu, Jian Cao 0001, Xinjiang Lu, Qi Gu	Leveraging pointwise prediction with learning to rank for top-N recommendation.	World Wide Web	2021	DBLP DOI BibTeX RDF
8	Suman Banerjee 0002, Pratik Banjare, Bithika Pal, Mamata Jenamani	A multistep priority-based ranking for top-N recommendation using social and tag information.	J. Ambient Intell. Humaniz. Comput.	2021	DBLP DOI BibTeX RDF
8	Shanmugasundaram Abinaya, M. K. Kavitha Devi	Enhancing Top-N Recommendation Using Stacked Autoencoder in Context-Aware Recommender System.	Neural Process. Lett.	2021	DBLP DOI BibTeX RDF
8	Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang 0001	Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings.	ACM Trans. Inf. Syst.	2021	DBLP DOI BibTeX RDF
8	Wanqi Ma, Xiaoxiao Liao, Wei Dai, Weike Pan, Zhong Ming 0001	Holistic Transfer to Rank for Top-N Recommendation.	ACM Trans. Interact. Intell. Syst.	2021	DBLP DOI BibTeX RDF
8	Youngjune Lee, Kee-Eung Kim	Dual Correction Strategy for Ranking Distillation in Top-N Recommender System.	CoRR	2021	DBLP BibTeX RDF
8	Yang Sun, Fajie Yuan, Min Yang 0007, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao 0005	Enhancing Top-N Item Recommendations by Peer Collaboration.	CoRR	2021	DBLP BibTeX RDF
8	Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen 0017, Xiuqiang He 0001, Jun Wang 0012	Top-N Recommendation with Counterfactual User Preference Simulation.	CoRR	2021	DBLP BibTeX RDF
8	Zhichao Xu, Hansi Zeng, Qingyao Ai	Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation.	CoRR	2021	DBLP BibTeX RDF
8	John Kalung Leung, Igor Griva, William G. Kennedy	Applying the Affective Aware Pseudo Association Method to Enhance the Top-N Recommendations Distribution to Users in Group Emotion Recommender Systems.	CoRR	2021	DBLP BibTeX RDF