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Search Engines that Learn from Implicit Feedback
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1080/00401706.1999.10485951openalex-snapshot
Statistical Learning Theory
inferredcites →https://doi.org/10.1145/1148170.1148177openalex-snapshot
Improving web search ranking by incorporating user behavior information
inferredcites →https://doi.org/10.1145/1165385.317480openalex-snapshot
Experience with an adaptive indexing scheme
inferredcites →https://doi.org/10.1145/1229179.1229181openalex-snapshot
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
inferredcites →https://doi.org/10.1145/1277741.1277894openalex-snapshot
Characterizing the value of personalizing search
inferredcites →https://doi.org/10.1145/1281192.1281254openalex-snapshot
Active exploration for learning rankings from clickthrough data
inferredcites →https://doi.org/10.1145/317456.317480openalex-snapshot
Experience with an adaptive indexing scheme
inferredcites →https://doi.org/10.1145/775047.775067openalex-snapshot
Optimizing search engines using clickthrough data
inferredcites →https://doi.org/10.1145/959258.959260openalex-snapshot
Implicit feedback for inferring user preference
inferredcites →https://doi.org/10.48550/arxiv.cs/0605037openalex-snapshot
Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs
inferredcites →https://doi.org/10.7551/mitpress/1113.003.0010openalex-snapshot
Large Margin Rank Boundaries for Ordinal Regression
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Deriving query suggestions for site search
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Online search stopping behaviors: An investigation of query abandonment and task stopping
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Web Search Relevance Ranking
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Web Search Relevance Ranking
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Web Search Relevance Ranking
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Web Search Relevance Ranking
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FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint
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Incentives for Item Duplication Under Fair Ranking Policies
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Privacy-Preserving Fair Item Ranking
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Efficient Semantic Web Service Discovery in Centralized and P2P Environments
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Interpreting User Inactivity on Search Results
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On How Ants Put Advertisements on the Web
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Learning Readers’ News Preferences with Support Vector Machines
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Digital Advertising: An Information Scientist’s Perspective
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Moving towards Adaptive Search in Digital Libraries
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Enriching Query Flow Graphs with Click Information
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A Case Study of User Behavior in Information Retrieval
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Dynamic adaptation of numerical attributes in a user profile
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Bias in algorithmic filtering and personalization
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Learning to rank: new approach with the layered multi-population genetic programming on click-through features
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Boosting learning to rank with user dynamics and continuation methods
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Shallow pooling for sparse labels
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An adaptive decision-making system supported on user preference predictions for human–robot interactive communication
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Exploring the Relationship between Keywords and Feed Elements in Blog Post Search
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Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn
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Present and future challenges in therapeutic designing using computational approaches
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A synergistic strategy for combining thesaurus-based and corpus-based approaches in building ontology for multilingual search engines
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Semi-supervised ranking for document retrieval
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Broad or exact? Search Ad matching decisions with keyword specificity and position
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A personalized ranking method based on inverse reinforcement learning in search engines
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Following others through an information maze: The impact of social navigation on information seeking behavior
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Partial observable update for subjective logic and its application for trust estimation
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Finding the Right Words: The Influence of Keyword Characteristics on Performance of Paid Search Campaigns
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The state of human-centered NLP technology for fact-checking
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Enumerative feature subset based ranking system for learning to rank in presence of implicit user feedback
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Improving user-oriented fairness in recommendation via data augmentation: Don’t worry about inactive users
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Automatic preference learning on numeric and multi-valued categorical attributes
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A weighted adaptation method on learning user preference profile
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Recommending the Meanings of Newly Coined Words
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Spec-crawl: Domain specific crawler and specifications management for search engines
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Gender bias in Artificial Intelligence
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Does visual attention help? Towards better understanding and predicting users’ good abandonment behavior in mobile search
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Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks
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Eliciting Customer Wishes Using Example-Based Heuristics in E-Commerce Applications
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Improving ranking of webpages using user behaviour, a Genetic algorithm approach
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IRIS2: A Semantic Search Engine That Does Rational Research
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Quality metrics a quanta for retrieving learning object by clustering techniques
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Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module
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Predictability of Off-line to On-line Recommender Measures via Scaled Fuzzy Implicators
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Latent topic modelling of word co-occurence information for spoken document retrieval
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iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making
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Adapting ranking functions to user preference
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Learning to rank firms with annual reports
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A Framework of User Model Based on Semi-Supervised Techniques
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Web page recommendations using Radial Basis Neural Network technique
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An example based image retrieval system for the TRACE repository
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Semantically Enriched Recommender Engine: A Novel Collaborative Filtering Approach Using "User-to-User Fast Xor Bit Operation"
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SAWSDL-MX2: A Machine-Learning Approach for Integrating Semantic Web Service Matchmaking Variants
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A Self-Learning Framework for Large-Scale Conversational AI Systems
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Personalized Concept-Based Clustering of Search Engine Queries
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Mining Web Graphs for Recommendations
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Dynamic Query Forms for Database Queries
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FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms
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Relevance Ranking Metrics for Learning Objects
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Multi-model Ontology-Based Hybrid Recommender System in E-learning Domain
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Two-sided fairness-aware recommendation method under many-to-many relation schema
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Learning to learn implicit queries from gaze patterns
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Learning latent semantic relations from clickthrough data for query suggestion
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Crowdsourcing for relevance evaluation
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Word Topic Models for Spoken Document Retrieval and Transcription
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Efficient multiple-click models in web search
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Top- k dominant web services under multi-criteria matching
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Good abandonment in mobile and PC internet search
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Predicting user interests from contextual information
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Action prediction and identification from mining temporal user behaviors
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Evaluating new search engine configurations with pre-existing judgments and clicks
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Facet discovery for structured web search
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Learning from users' querying experience on intranets
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Improving news ranking by community tweets
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Adaptation of the concept hierarchy model with search logs for query recommendation on intranets
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Serial position effects of clicking behavior on result pages returned by search engines
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A User-Powered American Sign Language Dictionary
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Towards Recommender Systems for Police Photo Lineup
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A Study on User-Controllable Social Exploratory Search
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A Study of Immediate Requery Behavior in Search
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A Roadmap to User-Controllable Social Exploratory Search
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Do People and Neural Nets Pay Attention to the Same Words
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Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation
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Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce
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Interacting with Information in Immersive Virtual Environments
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Estimation of Fair Ranking Metrics with Incomplete Judgments
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Is this a click towards diversity? Explaining when and why news users make diverse choices
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Efficient Query Obfuscation with Keyqueries
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Algorithmic Vibe in Information Retrieval
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Combining Human and Machine Confidence in Truthfulness Assessment
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The Infinite Index: Information Retrieval on Generative Text-To-Image Models
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FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems
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Prolegomena to a Description Language for GenAI Tools in Cities
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Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization
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A prediction model for web search hit counts using word frequencies
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How Do the Users Show their Interest on Line? ------ Eye Movement and Browsing Behaviour
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A framework for utilising usage trends in the crawling and indexing process of search engines
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An information search model for online social Networks - MOBIRSE
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Test Collection Based Evaluation of Information Retrieval Systems
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Mining Query Logs: Turning Search Usage Data into Knowledge
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A Comprehensive Review on Machine Learning and Deep Learning Methods in Drug Discovery
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Adaptive Query Interface for Database Search
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Leveraging relevance cues for improved spoken document retrieval
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Cognitive traveling in digital space: from keyword search through exploratory information seeking
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Techniques for Improving Web Search by Understanding Queries
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Techniques for Improving Web Search by Understanding Queries
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From personalization to adaptivity – Creating immersive visits through interactive digital storytelling at the Acropolis Museum
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Entity ranking using click-log information
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Adaptive signature-based semantic selection of services with OWLS-MX3
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Development of personalized online systems for web search, recommendations, and e-commerce
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Development of personalized online systems for web search, recommendations, and e-commerce
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Machine Learning Methods in Drug Discovery
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Adaptive Hybrid Semantic Selection of SAWSDL Services with SAWSDL-MX2
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Artificial Intelligence for Information Retrieval
inferred← citeshttps://doi.org/10.4018/jswis.2010100101openalex-snapshot
Adaptive Hybrid Semantic Selection of SAWSDL Services with SAWSDL-MX2
inferred← citeshttps://doi.org/10.4304/jcp.7.10.2578-2584openalex-snapshot
Personalized Web Search Using Clickthrough Data and Web Page Rating
inferred← citeshttps://doi.org/10.4304/jetwi.2.4.272-281openalex-snapshot
A Hybrid Recommender System Guided by Semantic User Profiles for Search in the E-learning Domain
inferred← citeshttps://doi.org/10.48550/arxiv.1406.3561openalex-snapshot
When relevance is not Enough: Promoting Visual Attractiveness for Fashion E-commerce
inferred← citeshttps://doi.org/10.48550/arxiv.1606.06816openalex-snapshot
Learning Optimal Card Ranking from Query Reformulation
inferred← citeshttps://doi.org/10.48550/arxiv.1805.01788openalex-snapshot
Equity of Attention: Amortizing Individual Fairness in Rankings
inferred← citeshttps://doi.org/10.48550/arxiv.2104.09024openalex-snapshot
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers
inferred← citeshttps://doi.org/10.48550/arxiv.2108.05152openalex-snapshot
Estimation of Fair Ranking Metrics with Incomplete Judgments
inferred← citeshttps://doi.org/10.48550/arxiv.2109.05173openalex-snapshot
Making Table Understanding Work in Practice
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Incentives for Item Duplication under Fair Ranking Policies
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An Overview of Role of Machine Learning in Drug Discovery
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BlogForever D2.5: Weblog spam filtering report and associated methodology
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Diversity of News Consumption in a Digital Information Environment
inferred← citeshttps://doi.org/10.65109/xwtd4614openalex-snapshot
The Multimodal Correction Detection Problem
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Efficient Information Retrieval System with Higher Priority for User Preference
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Dynamic Query Form with query Refinement and Database encryption
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