{"product_id":"advances-in-information-retrieval-9783031887109","title":"Advances in Information Retrieval","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders.\u003c\/p\u003e\u003cp\u003e.- Patent Figure Classification using Large Vision-language Models.\u003c\/p\u003e\u003cp\u003e.- E!cient Session Retrieval Using Topical Index Shards.\u003c\/p\u003e\u003cp\u003e.- Feature Attribution Explanations of Session-based Recommendations.\u003c\/p\u003e\u003cp\u003e.- Evaluating Sequential Recommendations in the Wild: A Case Study on offine Accuracy, Click Rates, and Consumption.\u003c\/p\u003e\u003cp\u003e.- Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering.\u003c\/p\u003e\u003cp\u003e.- Exploring the relationship between listener receptivity and source of music recommendations.\u003c\/p\u003e\u003cp\u003e.- News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation.\u003c\/p\u003e\u003cp\u003e.- Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval.\u003c\/p\u003e\u003cp\u003e.- Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval.\u003c\/p\u003e\u003cp\u003e.- MVAM: Multi-View Attention Method for Fine-grained Image-Text Matching.\u003c\/p\u003e\u003cp\u003e.- An Investigation of Prompt Variations for Zero-shot LLM-based Rankers.\u003c\/p\u003e\u003cp\u003e.- Query Performance Prediction using Dimension Importance Estimators.\u003c\/p\u003e\u003cp\u003e.- Uncertainty Estimation in the Real World: A study on Music Emotion Recognition.\u003c\/p\u003e\u003cp\u003e.- Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models.\u003c\/p\u003e\u003cp\u003e.- Semi-Supervised Image-Based Narrative Extraction: A Case Study with Historical Photographic Records.\u003c\/p\u003e\u003cp\u003e.- LLM is Knowledge Graph Reasoner: LLM’s Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation.\u003c\/p\u003e\u003cp\u003e.- PEIR: Modeling Performance in Neural Information Retrieval.\u003c\/p\u003e\u003cp\u003e.- mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval.\u003c\/p\u003e\u003cp\u003e.- Leveraging Retrieval-Augmented Generation for Keyphrase Synonym Suggestion.\u003c\/p\u003e\u003cp\u003e.- Can Large Language Models E#ectively Rerank News Articles for Background Linking?.\u003c\/p\u003e\u003cp\u003e.- OKRA: an Explainable, Heterogeneous, Multi-Stakeholder Job Recommender System.\u003c\/p\u003e\u003cp\u003e.- CUP: a Framework for Resource-E!cient Review-Based Recommenders.\u003c\/p\u003e\u003cp\u003e.- Towards E!cient and Explainable Hate Speech Detection via Model Distillation.\u003c\/p\u003e\u003cp\u003e.- Visual Latent Captioning - Towards Verbalizing Vision Transformer Encoders.\u003c\/p\u003e\u003cp\u003e.- On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective.\u003c\/p\u003e\u003cp\u003e.- Towards Reliable Testing for Multiple Information Retrieval System Comparisons.\u003c\/p\u003e\u003cp\u003e.- Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195468439895,"sku":"9783031887109","price":123.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/advances-in-information-retrieval-9783031887109","provider":"Book Curl","version":"1.0","type":"link"}