Context-Aware Search Result Ranking with Call-to-Action Elements
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Solution Overview
Problem
Current search engines fail to effectively rank search results based on social context and user behavior, leading to suboptimal user experience and inefficient information retrieval.
Innovation Solution
A computer-implemented search tool that accesses a social-networking system to identify and rank search results based on social context, user behavior, and business objectives, associating relevant call-to-action elements with search results to enhance user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If search results are ranked using traditional algorithms, then the search process is simple and fast, but the relevance to user interests and social context is insufficient
Solution Approach 1:
The patent merges traditional search algorithms with social networking data and user behavior analysis to create a hybrid ranking system. This combines multiple data sources (search query relevance, social connections, user interactions) into a unified ranking mechanism that improves result relevance while managing complexity through integration.
Solution Approach 2:
The patent introduces social context data and user behavior metrics as intermediary elements between the search query and the final ranking. These intermediaries mediate the ranking process by providing additional relevance signals from social connections, likes, comments, and sharing patterns, thereby improving reliability without directly complicating the core search algorithm.
2Productivity
If search results are customized based on user behavior and social context, then user engagement improves, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by pre-processing and caching social networking data, user behavior metrics, and connection information before search queries are submitted. This advance preparation stores relevant social context and interaction data in accessible formats, reducing the computational burden and processing time during actual search operations while maintaining personalized engagement.
Solution Approach 2:
The patent applies local quality by customizing search result rankings based on specific user characteristics and social context rather than applying uniform processing to all queries. The system identifies and prioritizes relevant social connections and user interactions for each individual search, focusing computational resources on personalized elements that most impact user engagement rather than processing entire datasets uniformly.
3Ease of operation
If call-to-action elements are associated with search results, then user interaction is enhanced, but the information presentation becomes more complex
Solution Approach 1:
The patent segments the search result presentation by separating the core search result information from the associated call-to-action elements. This segmentation allows the search results to maintain their primary structure while adding interactive elements as distinct, modular components that enhance user interaction without fundamentally complicating the underlying information architecture.
Solution Approach 2:
The patent extracts call-to-action elements as separate, identifiable components associated with search results. By taking out these interactive elements from the core search result structure, the system enhances user interaction capabilities while keeping the presentation complexity manageable through clear separation of informational and interactive functions.
Data Source
AI summary
In one embodiment, a method includes, sending, to a client device of a user of an online social network for presentation to the user, one or more references corresponding to one or more content items of the online social network, respectively. Each reference is presented with one or more call-to-action elements. Each call-to-action element is a user-interface element that prompts an action from the user to initiate a particular function or process related to the content item via the online social network. The call-to-action elements for each content item are presented in ranked order based on a suitability of the call-to-action element to the content item. The method includes receiving a selection of a call-to-action element presented with a reference corresponding to a particular content item. The method includes executing the function or process related to the content item on the online social network prompted by the selected call-to-action element.