Multimedia Search Recommendation Word Generation
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Solution Overview
Problem
Users face inefficiencies in searching for detailed information related to multimedia content, as they often lack clear search information, leading to longer search times and lower target achievement rates due to limited understanding of the content.
Innovation Solution
An information recommendation method and apparatus that generates and presents a recommendation word based on the target object and its attributes, guiding users to search for specific attributes within multimedia content, such as videos, pictures, or texts, to improve search efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users actively initiate search based on their own understanding of multimedia content, then users can search for information they want to learn, but search time consumption increases and target achievement rate decreases due to limited user understanding
Solution Approach 1:
The system performs preliminary action by automatically generating recommendation words based on multimedia content attributes before the user conducts the search. The search system pre-processes the content to extract key attributes and generates suggested search terms, so when the user triggers a search, they can directly select from pre-generated recommendation words rather than formulating search queries from scratch. This preliminary preparation significantly reduces the time users need to spend on search operations.
2Ease of operation
If users actively initiate search based on their own understanding of multimedia content, then users can search for information they want to learn, but target achievement rate remains low due to limited user understanding of the content
Solution Approach 1:
The system introduces an intermediary component that acts as a bridge between the user and the search system. This intermediary automatically analyzes the multimedia content, extracts key attributes and objects, and generates recommendation words that accurately represent the content's essential information. The intermediary translates complex content understanding into user-friendly search suggestions, ensuring that even users with limited content knowledge can achieve their search targets effectively by selecting from these professionally generated recommendations.
3Adaptability or versatility
If users attempt to use different search information to find expected results, then users can explore various search angles, but search time consumption increases and target achievement rate remains low
Solution Approach 1:
The system applies segmentation by breaking down the multimedia content into distinct attribute dimensions (such as object attributes, evaluation attributes, and channel attributes). For each dimension, the system generates specific recommendation words, providing users with a structured set of search options across multiple angles. This segmented approach allows users to explore various search perspectives without having to manually formulate multiple different search queries, as the system has already organized comprehensive search recommendations by attribute categories.
Data Source
AI summary
The present disclosure provides an information recommendation method and apparatus, a computer device and a storage medium. The method includes: presenting a search page in response to a first search request triggered on a multimedia content present page, wherein the multimedia content includes related information of a commodity dimension; presenting, in a preset area of the search page, a recommendation word used for guiding to search for a target attribute of a target object, wherein the target object is an object indicated by the related information, and the recommendation word is generated based on the target object and description information of the target attribute; and in response to a second search request triggered for the recommendation word, acquiring and displaying a search result of the target object under the target attribute.