Information Providing System for Dynamic User Interest Modeling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing information providing systems fail to determine user interests effectively, leading to inadequate provision of interesting information.
Innovation Solution
An information providing system that includes an instruction acceptance unit, content-related information acquisition unit, search query generation unit, related information acquisition unit, interest area modeling unit, and supply unit to analyze user content preferences and provide relevant information from external sources, classified and weighted based on user history and interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional information providing systems are used, then information can be provided to users via communication lines, but the systems cannot determine what fields are interesting to users, leading to inadequate information provision
Solution Approach 1:
The system collects user operation histories (clicks, views,停留时间) as feedback signals, processes this feedback through the interest area modeling unit to dynamically update user interest profiles, and uses these updated profiles to continuously improve information selection and ranking, creating a closed-loop feedback mechanism that progressively enhances user interest detection accuracy
Solution Approach 2:
The system performs preliminary classification of external sites into multiple categories (news, entertainment, shopping, etc.) and pre-establishes correspondence tables between content types and site categories before user requests arrive. This preliminary organization enables rapid matching when users provide instruction information, eliminating the need for real-time analysis of all available information sources
2Productivity
If the system provides comprehensive related information from external sites, then users receive more information, but the information cannot be properly prioritized according to user interests
Solution Approach 1:
The system applies different weighting factors to different information categories based on individual user profiles. For example, a user interested in technology receives higher-weighted information from tech-related external sites, while another user interested in entertainment receives higher-weighted information from entertainment sites. This localized quality adjustment ensures each user receives comprehensive information tailored to their specific interests
Solution Approach 2:
The interest area modeling unit dynamically changes parameters such as category weights, priority scores, and selection thresholds based on user operation histories. When a user frequently interacts with certain types of information, the system increases the weight of corresponding external site categories and adjusts selection parameters to prioritize similar content, making the information provision adaptive to evolving user preferences
3Adaptability or versatility
If the system searches multiple external sites for related information, then more information sources are covered, but the complexity of information processing increases
Solution Approach 1:
The system segments the information processing task into distinct functional modules: the related information acquisition unit handles external site searching and data collection, the interest area modeling unit performs classification and weighting, and the information provision unit delivers results to users. Each module operates independently with well-defined interfaces, allowing the system to manage multiple external sites without proportionally increasing overall system complexity
Solution Approach 2:
The interest area modeling unit serves as an intermediary between the information acquisition layer and the information provision layer. It receives raw information from multiple external sites, processes this information through standardized classification rules, and outputs structured, weighted results to the provision unit. This intermediary layer abstracts the complexity of multi-source information processing, enabling the system to handle diverse external sites through a unified processing mechanism
Data Source
AI summary
The present invention provides an information providing system, an information providing server, an information providing method, and a program for information providing system, to acquire information actually interesting to a user from sources on which the user places importance and provide the information to the user. An information providing system 1 includes an instruction acceptance unit 200 that accepts instruction information, a content-related information acquisition unit 302 that acquires content-related information, a search query generation unit 304 that generates characteristic information as search queries and associates the generated search queries with attribute information of the characteristic information, a related information acquisition unit 306 that acquires related information by using the search queries at the time when the instruction was issued, an interest area modeling unit 314 that classifies the related information into a plurality of groups and assigns weights to the groups, an interest information listing unit 316 that lists the related information in order of the weights associated with the plurality of groups, and a supply unit 318 that supplies listing information to the user.