In this study, we seek accuracy improvement of ranking-based CF through adaptation of the vector space model, where we consider each user as a Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach ‐ Chuanbo Hu (West Virginia University, USA) , Minglei Yin (West Virginia University, USA) , Bin Liu (West Virginia University, USA) , Xin Li (West Virginia University, USA) , Yanfang Ye (Case Western Reserve University & University of Aug 30, 2021 · Paper Digest Team analyze all papers published on CIKM in the past years, and presents the 15 most influential papers for each year. More importantly, the LambdaLoss framework allows us to define metric-driven loss functions Learning to rank by optimizing expected reciprocal rank AIRS'11: Proceedings of the 7th Asia conference on Information Retrieval Technology Learning to rank is one of the most hot research areas in information retrieval, among which listwise approach is an important research direction and the methods that directly optimizing evaluation metrics 知乎专栏提供一个平台，让用户可以随心所欲地写作和自由表达。 This work builds on recent advances in alternative differentiable pairwise cost functions, and shows that these techniques can be successfully applied to tuning the parameters of an existing family of IR scoring functions (BM25), in the sense that they cannot do better using sensible search heuristics that directly optimize the rank-based cost function NDCG. S11–A: Neural Ranking. The purpose of the conference is to identify This repository is the PyTorch impelementation for the PGAI@CIKM 2023 paper LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking []. October 2021. table of contents in dblp. 269--278. 18. me show the superiority of our model, e. Another ranking of conferences is Google Scholar: Top publications - Data Mining & Analysis, which actually lists conferences as well as publications, and has these top 10 publications, ACM SIGKDD CIKM'20 "Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems" Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin. CIKM 2021 featured 7 tracks. information retrieval or data management facilitated by the use of 42269. Authors: Qijie Shen, Wanjie Tao, Jing Zhang, Hong Wen, Zulong Chen, and Quan Lu Authors Info & Claims. CIKM 2022 will be held between Oct 17-22, 2022, in Atlanta, Georgia, USA. In this paper, we present LambdaLoss, a probabilistic framework for ranking metric optimization. (2) We use an ID-based sequential recommender as retriever and design a verbalizer approach for LLM-based ranking, which significantly improves the time and memory efficiency for LLM-based Aug 5, 2023 · Learning-to-rank is a core technique in the top-N recommendation task, where an ideal ranker would be a mapping from an item set to an arrangement (a. e. CIKM 2021 will take place online in a lively and interactive manner. Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems Yulong Gu1, (CIKM ’20), October 19–23, 2020, Virtual Event, Ireland. S11–b: Subgraphs and Substructure. Collaborative Filtering. This paper presents Dual Correction strategy for Distillation (DCD), which transfers the ranking information from the teacher model to the student model in a more efficient manner. Ping-Chia Huang, Yueh-Li Chen, Yi-Syuan Liou, Bing-Chen Tsai, Chun-Chieh Wu, Winston H. Real-Time Personalization Using Embeddings for Search Ranking at Airbnb. May 13, 2024 · CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. model to capture the information hidden in the sequences. . Sequential/Session-based Recommendations. CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. 2021/05/19 - Invited to serve as Program Committee of CIKM 2021. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To enhance the modeling of data interrelation, we elaborately design a hybrid contrastive learning approach to capture commonalities and differences among multiple scenarios. Recently, large language models (LLMs) have exhibited significant progress in language understanding and generation. Nov 6, 2017 · Existing deep IR models such as DSSM and CDSSM directly apply neural networks to generate ranking scores, without explicit understandings of the relevance. Due to the limited number of observable interactions, pairwise ranking models face serious class-imbalance issues. A Satellite workshop on Formal Approaches to Testing of Software. We would like to show you a description here but the site won’t allow us. However, a user behavior sequence has often been viewed as a definite and exact signal reflecting a user's behavior. PKDD is higher than PAKDD, which are higher than DASFAA and DAWAK as in the Google ranking, and I agree with this. Moreover, although advanced recommendation CIKM ’23, October 21–25, 2023, Birmingham, United Kingdom. , select the "best" candidates) subject to group fairness criteria. Optimising the parameters of ranking functions with respect to standard IR rank-dependent cost functions has eluded satisfactory analytical treatment. Grbovic, M. 3 Text-to-text generation We formulate ad text generation as a sequence-to-sequence predic-tion task, which is common in natural language processing prob-lems like machine translation and abstractive summarization. a. The ACM Conference on Information and Knowledge Management (CIKM) is an annual computer science research conference dedicated to information management and knowledge management. Key Dates (All deadlines are at 11:59 pm in the Anywhere on Earth timezone. Oct 21, 2023 · We welcome you to the 2023 ACM International Conference on Information and Knowledge Management (CIKM 2023) in Birmingham, UK! Birmingham is located in the West Midlands of England, an area that was instrumental in driving the Industrial Revolution, and an excellent place for researchers to gather and discuss the opportunities and challenges of the next, AI- and data-driven, revolution. Applying for permission , please wait patiently. Balanced neighborhoods for fairness-aware collaborative recommendation. We build on recent advances in alternative differentiable pairwise cost functions, and show that these techniques can be successfully applied to tuning the parameters of an existing family of IR scoring functions (BM25), in the sense […] CIKM ’23, October 21–25, 2023, Birmingham, United Kingdom Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, and Carsten Eickhoff (a) (b) (c) (d) Figure 1: Visualization of our method PUFR. 4. Oct 19, 2020 · Teaching machines to ask clarifying questions, given a natural language query, is of immense utility in practical NLP systems, since such interaction can help in filling information gaps for better machine comprehension of the query. The purpose of the conference is to identify challenging problems facing the development of future knowledge May 13, 2024 · Neural Information and knowledge processing (e. Oct 25, 2023 · LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. In CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. The core of our approach consists of two elaborated contrastive CIKM 2022 also accepts papers covering general areas of data science, and machine learning, covering both foundational work, and applications. , DRMM [9] and variants [25]) in our keyphrase and image tag ranking setups. A类也是非常好的会议了 Code and Dataset for paper "SAR-Net:A Scenario-Aware Ranking Network for Fairness Recommendation in Hundreds of Travel Scenarios". Abstract Context information in search sessions has proven to be useful for capturing user search intent. Disclaimer: The rankings below are for the most prestigious category of paper at a given conference (i. 223. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), pp. , graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) Data processing enabled by large language models and other foundation models (e. Neural information and knowledge processing (e. , graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural Rankings were generated by a voting panel made up of media members. We perform experiments on four real-world recommendation data sets, and show that SBPR outperforms alternatives in ranking prediction both in warm- and cold-start settings. However, user behavior sequences have been viewed as definite and exact Context-aware Document Ranking, Contrastive Learning, User. Task. k. 2021. Rank: A Field Of Research: 0806 - Information Systems† Oct 19, 2020 · By including textual information from item descriptions, the proposed TPR model consistently outperforms state-of-the-art baselines on various recommendation tasks. CORE2023 Summary: A* - 7. CIKM 2020 【文本感知的偏好排序】 fine-grained means there will be additional classification and note on following papers. KGPR is a knowledge graph enhanced cross encoder model for the passage ranking task. We develop a model, SBPR (Social Bayesian Personalized Ranking), based on the simple observation that users tend to assign higher ranks to items that their friends prefer. However, the SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios ‐ Qijie Shen (Alibaba Group, China), Wanjie Tao (Alibaba Group, China), Jing Zhang (The University of Sydney, Australia), Hong Wen (Alibaba Group, China), Zulong Chen (Alibaba Group, China), Quan Lu (Alibaba Group, China) Oct 21, 2023 · Conference: CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management; Ranking is a fundamental and widely studied problem in scenarios such as search Jun 20, 2017 · In this work, we define and solve the Fair Top-k Ranking problem, in which we want to determine a subset of k candidates from a large pool of n >> k candidates, maximizing utility (i. \r\n\r\nFor the task of ranking clarification questions, we hypothesize that determining whether a clarification question pertains to a missing entry in a given Code release for CIKM 2017"Volume Ranking and Sequential Selection in Programmatic Display Advertising" 4 stars 1 fork Branches Tags Activity. Optimising the parameters of CIKM 2021 took place online in a lively and interactive manner. Specifically, KGPR is built upon LUKE, an entity-aware pretrained language model, with an additional module that fuses information from Tag ranking in such recommendation systems provides personalized tag lists for videos from their tag candidates. CIKM 2017. Existing studies explored user behavior sequences in sessions in different ways to enhance query suggestion or document ranking. Most prior art utilizes text for rating prediction, but rare work connects it to top-recommendation. However, existing re-ranking strategies are sub-optimal due to (i) most prior works do not consider explicit item relationships, like being substitutable or complementary, which may mutually influence the user satisfaction on other items in the lists, and (ii) they usually apply an identical re-ranking strategy for all users, with personalized The basic idea is to learn the rank of users' preferred items through separating items into positive samples if user-item interactions exist, and negative samples otherwise. Artificial Intelligence and Image Processing. Shane Culpepper, Zi Huang, Hanghang Tong:CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. Bibliographic content of 32nd CIKM 2023. 46% of 802 ranked venues B - 27. permutation). Our ranked group fairness definition extends group fairness using the standard notion of protected groups and is based on ensuring that the TPR: Text-aware Preference Ranking for Recommender Systems. 81% of 802 ranked venues Oct 30, 2021 · CIKM 2021 received over 2,300 valid submissions across all paper tracks from over 8,000 distinct authors. FA*IR: A Fair Top-k Ranking Algorithm. They are based on general reputation of the conference in the field, the citation of the papers published in the conference, reputation of program committee members and reputation of the review process. The ranking was created by Australian deans and the Australian Computing Research and Education Association of Australasia (CORE). C. However, these At the last step, the time bias representation from the deep & cross network is integrated into the ranking system to deliver final search results. 42270. 0 methodology, which includes 18 carefully calibrated performance indicators that measure an institution’s performance across five areas: teaching, research environment, research quality, industry, and international outlook. Feb 26, 2024 · We propose a novel framework for LLM-based two-stage recommendation (LlamaRec), which provides a complete solution with both retrieval and ranking. Most importantly, DCD uses the discrepancy between the teacher model and the student model predictions to decide which knowledge to be distilled. ACM, New FA*IR: A Fair Top-k Ranking Algorithm. Rakesh Agrawal: Toward Data-Driven Education: CIKM-2016 Keynote. 0801. Conference short name: CIKM ; Ranking type: CORE 2018; About CORE 2018 ranking: The CORE Conference Ranking is a measure to assess the major conference in the computing field. Recently, Relaxed Ranking Distillation (RRD) has shown that distilling the ranking information in the recommendation list significantly improves the performance. Keynote Address 1. Personalized Re-ranking with Item Relationships for E-commerce: Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He and Pheng Ann Heng: Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching: Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky and Marc Najork Jul 17, 2016 · The KDD conference is still the #1 conference. Exploiting such contextual interactions has been proven to be favorable for result ranking. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. We propose a two-stage framework using large language models for ranking-based recommendation (LlamaRec). RankingConferenceH5-indexImpact Score1CVPR : IEEE/CVF Conference on Computer Vision and Pattern Recognition29951. Oct 17, 2022 · CIKM is uniquely situated to highlight technologies and insights that materialize the big-data and artificial-intelligence vision of the future. ACM 2021, ISBN 978-1-4503-8446-9. 2. Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Help; Learn to edit; Community portal; Recent changes; Upload file ACM Digital Library 6 days ago · Gianluca Demartini, Guido Zuccon, J. Through Martin Szummer and Emine Yilmaz. SCImago Journal Rank is an indicator, which measures the scientific influence of journals. The table is based on our new WUR 3. Keynote Speakers. Recently, large language models (LLMs) have We would like to show you a description here but the site won’t allow us. This conference ranking has been created as part of the Excellence in Research in Australia (ERA). , an online A/B testing shows that The datasets are used in "Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems", which is published in CIKM 2020. Jiarui Jin et al. mainly the refereed full paper track). Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP. CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. According to the human judgement process, a relevance label is generated by the following three steps: 1) relevant locations are detected; 2) local relevances are determined; 3) local Oct 25, 2023 · This work proposes a two-stage framework using large language models for ranking-based recommendation (LlamaRec) that uses small-scale sequential recommenders to retrieve candidates based on the user interaction history and adopts a verbalizer-based approach that transforms output logits into probability distributions over the candidate items. The 2022 CIKM Keynotes. Our theoretical analysis shows that current sampling The Conference on Information and Knowledge Management (CIKM) provides an international forum for presentation and discussion of research on information and knowledge management, as well as recent advances on data and knowledge bases. Here is a full list of 38 conferences in data mining. Source. 214. 2011. 7% acceptance rate). Beyond parity: Fairness objectives for collaborative filtering. This repository contains the source code and datasets for the CIKM 2021 paper Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking by Zhu et al. Star Feb 6, 2023 · Besides, in order to conduct more informative contrastive learning, we further propose a cross-scenario encoding strategy to generate. 附件是计算机领域的学术会议等级排名情况，分为A+, A, B, C, L 共5个档次。. I have a submission at CIKM 2022 and I have yet CIKM 2021 received over 2,300 valid submissions across all paper tracks from over 8,000 distinct authors. 493ICCV : IEEE/CVF Int…. 311--320. Paper Digest Team analyzes all papers published on CIKM in the past years, and presents the 15 most Feb 6, 2023 · In this paper, we propose a Hybrid Contrastive Constrained approach (HC^2) for multi-scenario ad ranking. In Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM). In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2018), KDD '18, Association for Computing Machinery, p. Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016. Currently, we are planning a hybrid event, with both in-person and online interactive events. This make sense, and also that the CIKM, ICDM and SDM conferences are among the top conferences in the field. Controlling popularity bias in learning-to-rank recommendation. ICWSM - International Conference on Weblogs and Social Media. Semi-supervised Learning to Rank with Preference Regularization. Aug 24, 2021 · Context information in search sessions has proven to be useful for capturing user search intent. How this statement stands up for the final decisions, who knows, but it is a good step forward. It aims to leverage the information from a large knowledge graph (Freebase) to improve the passage ranking performance. , and Cheng, H. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. Being aware of PRP’s limitation of independently assigning the ranking score for each item and using non-differentiable sort op- Sep 25, 2023 · Most Influential CIKM Papers (2023-09) September 25, 2023 admin. Included Conferences: SIGIR 2020, SIGKDD 2020, RecSys 2020, CIKM 2020, AAAI 2021, WSDM 2021, WWW 2021, SIGIR 2021. Sep 8, 2021 · Knowledge Distillation (KD), which transfers the knowledge of a well-trained large model (teacher) to a small model (student), has become an important area of research for practical deployment of recommender systems. Key Dates Oct 31, 2023 · The overall rank of International Conference on Information and Knowledge Management, Proceedings is 3023. 3-D Digital Imaging and Modelling. user interactions show strong comparison patterns, namely users usually compare multiple items before generating a click action. According to SCImago Journal Rank (SJR), this conference and proceedings is ranked 1. That is, an observed sequence is used as a positive Behavior Sequence, Data Augmentation. This ranking is governed by the CORE Executive Committee. Most existing solutions fall in the paradigm of probabilistic ranking principle (PRP), i. Existing recommendation algorithms usually learn the ranking scores of items by optimizing a single task (e. 2021/08/10 - Our paper Self-Supervised Learning on Users’ Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce is accepted to CIKM 2021. S11–c: Search and Text. 2021/07/09 - Invited to be a member of the Program Committee Board of IJCAI (serve as Program Committee for IJCAI 2022, 2023 and 2024). sequences. They neglect the diverse information hidden in different relations and structured information of session elements as well as the valuable signals from other We welcome you to the 2023 ACM International Conference on Information and Knowledge Management (CIKM 2023) in Birmingham, UK! Birmingham is located in the West Midlands of England, an area that was instrumental in driving the Industrial Revolution, and an excellent place for researchers to gather and discuss the opportunities and challenges of the next, AI- and data-driven, revolution. Fa*ir: A fair top-k ranking algorithm. The Times Higher Education World University Rankings 2024 include 1,906 universities across 108 countries and regions. A better tag ranking model could attract users to click more tags, enter their corresponding tag channels, and watch more tag-specific videos, which improves both tag-related and video-related performances. 2493-2500, Galway, Ireland, October 19-23, 2020. 3DIM. CIKM has traditionally emphasized on relevance to industry and government applications; CIKM 2022 continues this tradition and further increases this emphasis by including an Industry Day (a full day SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios. 48% of 802 ranked venues A - 14. CIKM has a strong tradition of workshops devoted to emerging areas of database management, IR, and related fields. on relevance ranking models (e. ACM2021, ISBN 978-1-4503-8446-9 [contents] view. A step forward in CIKM 2022 review process [D] As the title says, the email to reviewers explicitly states that there are no preconceived limits on the "acceptance rate", please do a good job reviewing. Oct 23, 2020 · Welcome. The rankings range from A (=best) to C (=worst). 5. Click-through rate prediction) based on users' historical click sequences, but they generally pay few attention to simultaneously modeling users' multiple types of behaviors or jointly optimize multiple Yutao Zhu, Jian-Yun Nie, Zhicheng Dou, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, and Hao Jiang. Hsu: STAMINA (Spatial-Temporal Aligned Meteorological INformation Attention) and FPL (Focal Precip Loss): Advancements in Precipitation Nowcasting for Heavy Rainfall Events. 3. Different from machine learning, Knowledge Discovery and Data Mining (KDD) is considered to be more practical and more related with real-world applications. Warning for Spam Email from Travellerpoint There are scam e-mails sent to OC members (and later on probably also to authors once the papers are online) that pretend to organize travels (see below), Travellerpoint is known to send. 其中A+属于顶级会议，基本是这个领域全世界大牛们参与和关注最多的会议。. Authors: Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, and Ricardo Baeza-Yates Authors Info & Claims. By leveraging textual features, customized LLMs are also applied for Recommender Systems have been playing essential roles in e-commerce portals. Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking. November 2017. , first score each item in the candidate set and then perform a sort operation to generate the top ranking list. Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, Even Oldridge. g. - Waterkin/stock-top-papers We would like to show you a description here but the site won’t allow us. Extensive offline and online experiments on real-world datasets collected from one of China's largest OFD platforms Ele. Personalized Re-ranking with Item Relationships for E-commerce: Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He and Pheng Ann Heng: Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching: Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky and Marc Najork Data Mining Conferences. RecSys 2017. Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking Jan 6, 2024 · Venue and Travel Information CIKM 2024 International Conference on, The conference on information and knowledge management (cikm) provides an international forum for presentation and. In this paper, the two tasks are click prediction and order prediction. We hope to see you ONLINE at 19-23 October 2020 for the 29th ACM International Conference on Information and Knowledge Management (CIKM2020). The Conference on Information and Knowledge Management (CIKM), founded in 1992, is a key calendar event each year for the international academic, business and government communities for Nov 25, 2013 · 9-10. NIPS 2017. Next to the mean ranking scores PUFR also considers the score distribu-tion that we obtained from the ranking model (1a). The media members were asked to vote for who they feel are the top fighters in the UFC by weight-class and pound-for-pound. Textual data is common and informative auxiliary information for recommender systems. 997. However, existing studies mainly model the contextual information independently and sequentially. Feb 6, 2023 · Multi-scenario ad ranking aims at leveraging the data from multiple domains or channels for training a unified ranking model to improve the performance at each individual scenario. However, most of these retrieval models focus on capturing the textual matching signals between query and document but do not consider user behavior information that may be helpful for the retrieval task. Oct 19, 2020 · Discover the latest ranking, metrics and conference call for papers for CIKM 2020 : 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT Most Affordable Colleges Business & Management Affordable Online MBA Programs Affordable Online Business Degree Affordable Online Accounting Degree Programs Affordable Online Master's in 消姻曲络谆 嘉到买枣 Impact Score 苍翩 Top 100. The Full Paper Track received 1,251 submissions, of which 271 were accepted (21. Neural ranking models have recently gained much attention in Information Retrieval community and obtain good ranking performance. State- 2022 CIKM Workshop and Analyticup. 982NeurIPS : Neural Information Processing Systems (NIPS)19833. In reality, it is highly variable: user's queries for Recently ranking-based CF methods have shown advantages in recommendation accuracy, being able to capture the preference similarity between users even if their rating scores differ significantly. CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. Knowledge Discovery and Data Mining is an interdisciplinary area focusing upon methodologies and applications for extracting useful knowledge from data [1] . The goal of click prediction is to predict the CTR. . There are timely rounds for submission of requests, both for the addition and re-ranking of conferences. ACM 2016, ISBN 978-1-4503-4073-1. Although the research on this task has made important progress, it still lacks the consideration of cross-scenario relations, thus leading to limitation in learning capability and difficulty in interrelation Top paper collection for stock price prediction, quantitative trading. The Conference on Information and Knowledge Management (CIKM) provides an international forum for presentation and discussion of research on information and knowledge management, as well as recent advances on data and knowledge bases. The purpose of the conference is to identify challenging problems facing the development of future knowledge …. CIKM 2024 will take place between October 21-25, 2024 in Boise, Idaho, USA. 国内的研究者能在其中发表论文的话，是很值得骄傲的成就。. ) Full Papers Abstract Deadline: 13 May 2024 计算机会议排名等级. Feb 3, 2022 · Paper Digest Team analyzes all papers published on CIKM in the past years, and presents the 15 most influential papers for each year. We show that LambdaRank is a special configuration with a well-defined loss in the LambdaLoss framework, and thus provide theoretical justification for it.
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