He M, Wang J, Ding T, Shen T (2023) Conversation and recommendation: knowledge-enhanced personalized dialog system. Liu Q, Tian F, Zheng Q, Wang Q (2023) Disentangling interest and conformity for eliminating popularity bias in session-based recommendation. Zhu Y, Xie R, Zhuang F, Ge K, Sun Y, Zhang X, Lin L, Cao J (2021) Learning to warm up cold item embeddings for cold-start recommendation with meta scaling and shifting networks. Pan F, Li S, Ao X, Tang P, He Q (2019) Warm up cold-start advertisements: improving ctr predictions via learning to learn id embeddings. Xie R, Qiu Z, Rao J, Liu Y, Zhang B, Lin L (2020) Internal and contextual attention network for cold-start multi-channel matching in recommendation. Mo K, Liu B, Xiao L, Li Y, Jiang J (2015) Image feature learning for cold start problem in display advertising. Li J, Jing M, Lu K, Zhu L, Yang Y, Huang Z (2019) From zero-shot learning to cold-start recommendation. Guo H, Chen B, Tang R, Zhang W, Li Z, He X (2021) An embedding learning framework for numerical features in ctr prediction. Association for Computing Machinery, New York, pp 1457–1467 In: Proceedings of the ACM web conference 2023, Austin, TX, USA. He B, He X, Zhang Y, Tang R, Ma C (2023) Dynamically expandable graph convolution for streaming recommendation. Guo L, Yin H, Wang Q, Chen T, Zhou A, Quoc Viet Hung N (2019) Streaming session-based recommendation. Ren K, Zhang W, Rong Y, Zhang H, Yu Y, Wang J (2016) User response learning for directly optimizing campaign performance in display advertising. Furthermore, our framework yields a reduction in memory usage of approximately 20–30%, verifying its practical effectiveness and efficiency for streaming recommender systems.Īn M, Wu F, Wu C, Zhang K, Liu Z, Xie X (2019) Neural news recommendation with long-and short-term user representations. Our experiment results demonstrate that AutoAssign+ is capable of significantly enhancing recommendation performance by mitigating the cold-start problem. To evaluate the effectiveness of our approach, we perform extensive experiments on three commonly used benchmark datasets. The policy of the agent is optimized with the guidance of a critic network. To be specific, AutoAssign+ utilizes an Identity Agent as an actor network, which plays a dual role: (i) representing low-frequency IDs field-wise with a small set of shared embeddings to enhance the embedding initialization and (ii) dynamically determining which ID features should be retained or eliminated in the embedding table. In light of these concerns, we introduce a reinforcement learning-driven framework, namely AutoAssign+, that facilitates Automatic Shared Embedding Assignment Plus. (ii) Embedding new IDs or low-frequency IDs necessitates consistently expanding the embedding table, leading to unnecessary memory consumption. However, this practice results in two practical challenges: (i) Items or users with limited interactive data may yield suboptimal prediction performance. June Smith Center for children with disabilities.In the domain of streaming recommender systems, conventional methods for addressing new user IDs or item IDs typically involve assigning initial ID embeddings randomly. Philanthropically, Alpha Sigma Alpha supports the Special Olympics as well as the S. This sorority currently has 120,000 active collegiate members across more than 175 chapters throughout the U.S. Members of this Greek group are dedicated to finding balance in the pursuit of spiritual, social, physical and intellectual development. The Alpha Sigma Alpha sorority was founded at Longwood University in Farmville, Virginia on November 15, 1901. Many of these are printed with the Alpha Sigma Alpha flag in addition to being made in Alpha Sigma Alpha colors. We also offer Alpha Sigma Alpha graduation stoles and sorority paddles and plaques. Others include accessories such as jewelry, sunglasses, tote bags, drink ware, fanny packs and stickers. Some of these items include Alpha Sigma Alpha blankets, tapestries, shower curtains, coasters, throw pillows and other home décor items. We also carry a variety of merchandise available for both individual orders as well as group orders at wholesale prices. Some of these include shirts, sweatshirts, pants, shorts, jackets and more. Our Alpha Sigma Alpha gear includes a wide variety of clothing and accessory options. Be sure to explore all of the items in our sorority boutique and take advantage of our exceptional selection and competitive pricing. This collection includes Alpha Sigma Alpha apparel and accessories, home décor items, graduation accessories, stationery and gifts for all of your sorority sisters. Show your sorority pride from head to toe by shopping the selection of Alpha Sigma Alpha merchandise from Greek U.
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