Cross-device network information search method and system based on data fusion

Abstract

The invention discloses a data fusion-based cross-device network information search method and system. The system comprises a data collection module, a historical data processing module and a search data processing module. The data collection system is used for recording and collecting behavior data of a user when the user performs a network search in a first device, wherein the behavior data comprises a stay duration of the user on a webpage, and the first device is a search device last used by the user. The historical data processing module is used for displaying recommended query formula and webpage for the user on a second device according to the data of the data collection module, wherein the second device is a search device which is being used by the user. The search data processing module is used for performing data fusion-based resorting in combination with device information on search results generated by performing the search by the user on the second device. According to the method and the system, the cross-device information search by the user is supported; the problem of repeated search by the user after device crossing is solved; the resorting of the search results after the device crossing is realized; the search efficiency of the user can be improved; and the search experience of the user is improved.

Description

technical field [0001] The present invention relates to information retrieval technology, in particular to a cross-device network information search method and system based on data fusion. Background technique [0002] The development of the mobile Internet has promoted the continuous improvement of the functions of terminal devices such as smart phones and tablet computers; the continuous reduction of the manufacturing cost of smart devices has also prompted people to own more and more different types of smart devices, such as smart phones, computers, tablets, Smart watches etc. As network access methods become more convenient and faster, users interact with different devices more frequently, and Internet users often switch between different devices in their lives. [0003] Especially when users use different devices to search for network information, due to the influence of different factors such as network, device size, device function, and external environment, the sear...

AI Technical Summary

Problems solved by technology

However, these technologies introduce too much user interaction, the usability is not high, and the complexity and burden of user interaction operations are high. In particular, the user interface does not actively provide users with cross-device search support, and is only suitable for simple cross-session Some web search activity for

[0006] In addition, the current technologies and systems that support cross-device search ignore a problem, that is, after the user transfers the device, in addition to continuing the previous search activities, further search is required.

Moreover, the current technology and method of simply repeating the user's historical records cannot judge whether the user's previous search activities need to be repeated for the user again; For searching, based on the user's previous search activities and interaction history, it is very important to sort the search results when the user searches again after the user has shifted across devices. The user data in the previous session should be combined to reorder the search results after cross-device , to avoid repeated searches by users, improve user search efficiency, and improve user search experience

Images