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. October 2021. FA*IR: A Fair Top-k Ranking Algorithm. Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Help; Learn to edit; Community portal; Recent changes; Upload file 6 days ago · Gianluca Demartini, Guido Zuccon, J. 214. 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 The Times Higher Education World University Rankings 2024 include 1,906 universities across 108 countries and regions. CIKM 2022 will be held between Oct 17-22, 2022, in Atlanta, Georgia, USA. However, a user behavior sequence has often been viewed as a definite and exact signal reflecting a user's behavior. Rakesh Agrawal: Toward Data-Driven Education: CIKM-2016 Keynote. 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. CIKM 2024 will take place between October 21-25, 2024 in Boise, Idaho, USA. 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 24, 2021 · Context information in search sessions has proven to be useful for capturing user search intent. 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 Grbovic, M. We would like to show you a description here but the site won’t allow us. However, the Code release for CIKM 2017"Volume Ranking and Sequential Selection in Programmatic Display Advertising" 4 stars 1 fork Branches Tags Activity. November 2017. RecSys 2017. Recently, Relaxed Ranking Distillation (RRD) has shown that distilling the ranking information in the recommendation list significantly improves the performance. 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. information retrieval or data management facilitated by the use of model to capture the information hidden in the sequences. 2011. C. 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. Most prior art utilizes text for rating prediction, but rare work connects it to top-recommendation. In reality, it is highly variable: user's queries for KGPR is a knowledge graph enhanced cross encoder model for the passage ranking task. S11–A: Neural Ranking. Code and Dataset for paper "SAR-Net:A Scenario-Aware Ranking Network for Fairness Recommendation in Hundreds of Travel Scenarios". ICWSM - International Conference on Weblogs and Social Media. Bibliographic content of 32nd CIKM 2023. However, existing studies mainly model the contextual information independently and sequentially. 311--320. In CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. The ranking was created by Australian deans and the Australian Computing Research and Education Association of Australasia (CORE). Oct 17, 2022 · CIKM is uniquely situated to highlight technologies and insights that materialize the big-data and artificial-intelligence vision of the future. Jiarui Jin et al. Due to the limited number of observable interactions, pairwise ranking models face serious class-imbalance issues. We hope to see you ONLINE at 19-23 October 2020 for the 29th ACM International Conference on Information and Knowledge Management (CIKM2020). a. The goal of click prediction is to predict the CTR. ACM 2021, ISBN 978-1-4503-8446-9. . Specifically, KGPR is built upon LUKE, an entity-aware pretrained language model, with an additional module that fuses information from 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. 2. Keynote Speakers. 3. CIKM has a strong tradition of workshops devoted to emerging areas of database management, IR, and related fields. 2493-2500, Galway, Ireland, October 19-23, 2020. 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 Disclaimer: The rankings below are for the most prestigious category of paper at a given conference (i. NIPS 2017. 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 May 13, 2024 · Neural Information and knowledge processing (e. Our ranked group fairness definition extends group fairness using the standard notion of protected groups and is based on ensuring that the 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. 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 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. 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. CIKM 2017. 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. 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. ACM 2016, ISBN 978-1-4503-4073-1. ACM2021, ISBN 978-1-4503-8446-9 [contents] view. me show the superiority of our model, e. Tag ranking in such recommendation systems provides personalized tag lists for videos from their tag candidates. Collaborative Filtering. 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. ) Full Papers Abstract Deadline: 13 May 2024 Data Mining Conferences. TPR: Text-aware Preference Ranking for Recommender Systems. 48% of 802 ranked venues A - 14. Abstract Context information in search sessions has proven to be useful for capturing user search intent. , select the "best" candidates) subject to group fairness criteria. The core of our approach consists of two elaborated contrastive 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. Top paper collection for stock price prediction, quantitative trading. 982NeurIPS : Neural Information Processing Systems (NIPS)19833. mainly the refereed full paper track). However, user behavior sequences have been viewed as definite and exact Context-aware Document Ranking, Contrastive Learning, User. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2018), KDD '18, Association for Computing Machinery, p. 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。 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. According to SCImago Journal Rank (SJR), this conference and proceedings is ranked 1. ACM, New Rank: A Field Of Research: 0806 - Information Systems† Exploiting such contextual interactions has been proven to be favorable for result ranking. CIKM 2020 【文本感知的偏好排序】 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. It aims to leverage the information from a large knowledge graph (Freebase) to improve the passage ranking performance. Textual data is common and informative auxiliary information for recommender systems. Hsu: STAMINA (Spatial-Temporal Aligned Meteorological INformation Attention) and FPL (Focal Precip Loss): Advancements in Precipitation Nowcasting for Heavy Rainfall Events. 3DIM. Neural information and knowledge processing (e. S11–c: Search and Text. sequences. Existing studies explored user behavior sequences in sessions in different ways to enhance query suggestion or document ranking. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP. How this statement stands up for the final decisions, who knows, but it is a good step forward. 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. Star 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. By leveraging textual features, customized LLMs are also applied for At the last step, the time bias representation from the deep & cross network is integrated into the ranking system to deliver final search results. 3-D Digital Imaging and Modelling. There are timely rounds for submission of requests, both for the addition and re-ranking of conferences. 46% of 802 ranked venues B - 27. The purpose of the conference is to identify . 0801. State- Oct 23, 2020 · Welcome. 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 This conference ranking has been created as part of the Excellence in Research in Australia (ERA). PKDD is higher than PAKDD, which are higher than DASFAA and DAWAK as in the Google ranking, and I agree with this. , and Cheng, H. 5. Source. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. Optimising the parameters of 2022 CIKM Workshop and Analyticup. CIKM 2021 will take place online in a lively and interactive manner. 消姻曲络谆 嘉到买枣 Impact Score 苍翩 Top 100. 997. Most importantly, DCD uses the discrepancy between the teacher model and the student model predictions to decide which knowledge to be distilled. Sep 25, 2023 · Most Influential CIKM Papers (2023-09) September 25, 2023 admin. 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 '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. 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 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. CIKM 2021 received over 2,300 valid submissions across all paper tracks from over 8,000 distinct authors. Key Dates (All deadlines are at 11:59 pm in the Anywhere on Earth timezone. , graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural CIKM 2021 took place online in a lively and interactive manner. (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 Neural ranking models have recently gained much attention in Information Retrieval community and obtain good ranking performance. Balanced neighborhoods for fairness-aware collaborative recommendation. 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. Feb 6, 2023 · Besides, in order to conduct more informative contrastive learning, we further propose a cross-scenario encoding strategy to generate. 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). Sequential/Session-based Recommendations. CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. Different from machine learning, Knowledge Discovery and Data Mining (KDD) is considered to be more practical and more related with real-world applications. 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. 2021/08/10 - Our paper Self-Supervised Learning on Users’ Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce is accepted to CIKM 2021. 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. CIKM 2021 featured 7 tracks. 2021/05/19 - Invited to serve as Program Committee of CIKM 2021. The ACM Conference on Information and Knowledge Management (CIKM) is an annual computer science research conference dedicated to information management and knowledge management. 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 Optimising the parameters of ranking functions with respect to standard IR rank-dependent cost functions has eluded satisfactory analytical treatment. 7% acceptance rate). Key Dates Martin Szummer and Emine Yilmaz. To enhance the modeling of data interrelation, we elaborately design a hybrid contrastive learning approach to capture commonalities and differences among multiple scenarios. A类也是非常好的会议了 We would like to show you a description here but the site won’t allow us. Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, Even Oldridge. 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. Through Rankings were generated by a voting panel made up of media members. g. Knowledge Discovery and Data Mining is an interdisciplinary area focusing upon methodologies and applications for extracting useful knowledge from data [1] . The table is based on our new WUR 3. 223. More importantly, the LambdaLoss framework allows us to define metric-driven loss functions on relevance ranking models (e. user interactions show strong comparison patterns, namely users usually compare multiple items before generating a click action. In this paper, the two tasks are click prediction and order prediction. 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. , first score each item in the candidate set and then perform a sort operation to generate the top ranking list. table of contents in dblp. Real-Time Personalization Using Embeddings for Search Ranking at Airbnb. S11–b: Subgraphs and Substructure. May 13, 2024 · CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. Oct 31, 2023 · The overall rank of International Conference on Information and Knowledge Management, Proceedings is 3023. Task. 269--278. SCImago Journal Rank is an indicator, which measures the scientific influence of journals. 493ICCV : IEEE/CVF Int…. The purpose of the conference is to identify challenging problems facing the development of future knowledge …. 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. Authors: Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, and Ricardo Baeza-Yates Authors Info & Claims. \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 Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016. Artificial Intelligence and Image Processing. 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. permutation). Semi-supervised Learning to Rank with Preference Regularization. Controlling popularity bias in learning-to-rank recommendation. 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. Included Conferences: SIGIR 2020, SIGKDD 2020, RecSys 2020, CIKM 2020, AAAI 2021, WSDM 2021, WWW 2021, SIGIR 2021. Oct 25, 2023 · LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking 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. 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。. 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 fine-grained means there will be additional classification and note on following papers. 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) ACM Digital Library 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. This ranking is governed by the CORE Executive Committee. 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 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. Here is a full list of 38 conferences in data mining. - Waterkin/stock-top-papers 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 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. Feb 6, 2023 · In this paper, we propose a Hybrid Contrastive Constrained approach (HC^2) for multi-scenario ad ranking. 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. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), pp. 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. I have a submission at CIKM 2022 and I have yet 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 计算机会议排名等级. e. 42270. We show that LambdaRank is a special configuration with a well-defined loss in the LambdaLoss framework, and thus provide theoretical justification for it. , an online A/B testing shows that 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. 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 We would like to show you a description here but the site won’t allow us. Paper Digest Team analyzes all papers published on CIKM in the past years, and presents the 15 most 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. 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. 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。. They neglect the diverse information hidden in different relations and structured information of session elements as well as the valuable signals from other 42269. 2021. 81% of 802 ranked venues Jul 17, 2016 · The KDD conference is still the #1 conference. This make sense, and also that the CIKM, ICDM and SDM conferences are among the top conferences in the field. Existing recommendation algorithms usually learn the ranking scores of items by optimizing a single task (e. Yutao Zhu, Jian-Yun Nie, Zhicheng Dou, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, and Hao Jiang. Applying for permission , please wait patiently. Beyond parity: Fairness objectives for collaborative filtering. Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking. Recently, large language models (LLMs) have 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. The Full Paper Track received 1,251 submissions, of which 271 were accepted (21. Most existing solutions fall in the paradigm of probabilistic ranking principle (PRP), i. The 2022 CIKM Keynotes. 18. 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. That is, an observed sequence is used as a positive Behavior Sequence, Data Augmentation. The purpose of the conference is to identify challenging problems facing the development of future knowledge CORE2023 Summary: A* - 7. Recommender Systems have been playing essential roles in e-commerce portals. Moreover, although advanced recommendation 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. k. The rankings range from A (=best) to C (=worst). 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. , 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. 4. 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。. Next to the mean ranking scores PUFR also considers the score distribu-tion that we obtained from the ranking model (1a). However, these In this paper, we present LambdaLoss, a probabilistic framework for ranking metric optimization. Being aware of PRP’s limitation of independently assigning the ranking score for each item and using non-differentiable sort op- 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. RankingConferenceH5-indexImpact Score1CVPR : IEEE/CVF Conference on Computer Vision and Pattern Recognition29951. Currently, we are planning a hybrid event, with both in-person and online interactive events. Keynote Address 1. Authors: Qijie Shen, Wanjie Tao, Jing Zhang, Hong Wen, Zulong Chen, and Quan Lu Authors Info & Claims. Oct 30, 2021 · CIKM 2021 received over 2,300 valid submissions across all paper tracks from over 8,000 distinct authors. In Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM). Ping-Chia Huang, Yueh-Li Chen, Yi-Syuan Liou, Bing-Chen Tsai, Chun-Chieh Wu, Winston H. CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. A Satellite workshop on Formal Approaches to Testing of Software. Fa*ir: A fair top-k ranking algorithm. This repository is the PyTorch impelementation for the PGAI@CIKM 2023 paper LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking []. CIKM ’23, October 21–25, 2023, Birmingham, United Kingdom. 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. We propose a two-stage framework using large language models for ranking-based recommendation (LlamaRec). Our theoretical analysis shows that current sampling Nov 25, 2013 · 9-10. Recently, large language models (LLMs) have exhibited significant progress in language understanding and generation. SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios. Extensive offline and online experiments on real-world datasets collected from one of China's largest OFD platforms Ele. zi hd ln su ef la no sk he eq