[go: up one dir, main page]

Mostafa et al., 2003 - Google Patents

Simulation studies of different dimensions of users' interests and their impact on user modeling and information filtering

Mostafa et al., 2003

View PDF
Document ID
8233930019911917097
Author
Mostafa J
Mukhopadhyay S
Palakal M
Publication year
Publication venue
Information Retrieval

External Links

Snippet

Modeling users in information filtering systems is a difficult challenge due to dimensions such as nature, scope, and variability of interests. Numerous machine-learning approaches have been proposed for user modeling in filtering systems. The focus has been primarily on …
Continue reading at link.springer.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/12—Computer systems based on biological models using genetic models
    • G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99931—Database or file accessing
    • Y10S707/99933—Query processing, i.e. searching

Similar Documents

Publication Publication Date Title
Menczer Complementing search engines with online web mining agents
CN111931062B (en) Training method and related device of information recommendation model
Liebman et al. The Right Music at the Right Time
Mostafa et al. Simulation studies of different dimensions of users' interests and their impact on user modeling and information filtering
Chen et al. An information retrieval system based on a user profile
Hofmann Fast and reliable online learning to rank for information retrieval
Xu et al. Novelty and topicality in interactive information retrieval
Eliassi-Rad et al. A system for building intelligent agents that learn to retrieve and extract information
Liu et al. Leveraging user interaction signals and task state information in adaptively optimizing usefulness-oriented search sessions
Nighojkar et al. Cognitive modeling of semantic fluency using transformers
Yang et al. Collecting high quality overlapping labels at low cost
Bhowmick et al. Ontology Based User Modeling for Personalized Information Access.
Mianowska et al. A method for user profile adaptation in document retrieval
Hollink et al. Discovering stages in web navigation for problem-oriented navigation support
Widyantoro Dynamic modeling and learning user profile in personalized news agent
Nikolaou Cost-sensitive boosting: A unified approach
CN120354320B (en) Node importance estimation method based on multi-view graph prompt learning
Derhami et al. RLRAUC: Reinforcem ent learning based ranking algorithm using user clicks
US12086545B2 (en) System and method for determining open-ended response quality
Arens Learning to rank documents with support vector machines via active learning
Cui et al. CIRAG: Retrieval-Augmented Language Model with Collective Intelligence
Dimec et al. WWW search engine for Slovenian and English medical documents
CN117033746A (en) Website retrieval method and device
Zhou et al. Research on Design Evaluation of Elderly Car Based on User Comments & Fuzzy Inference System
Lieder et al. The Rational Use of Cognitive Resources