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Publication Date: 2017-Jul-24
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This article describes a system and method for supporting a content author in search-optimizing content in a content management and delivery system. It does so by evaluating the content against stored historic queries to highlight the ones that the content matches best, thus providing a starting point for optimizations.

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This idea aims at content management systems that integrate content authoring, content delivery, and

content search capabilities.

It helps content authors to optimize their content for the integrated CMS search capabilities. It does so by

evaluating the content against all stored historic queries to highlight the ones that the content matches

best, hence providing a starting point for optimizations.

It further entails the evaluation against a set of selected or popular historic search queries. It calculates a

score that measures how well the content matches the corresponding search queries. It also

automatically determines and recommends the content author means to optimize the content for specified

search queries.


Imagine a web shop for photo equipment that is built on top of a content management system (CMS).

Users interested in buying a camera visit the web shop. One key feature in latest camera technology

might be an optical image stabilizer (OIS). Therefore, web shop visitors use the integrated search function

to look for cameras with an OIS. Hence, a very common search query is “action camera 4k ois”.

Unfortunately, the web shop visitors often do not get relevant results, because sometimes the content

authors do not add the acronym “ois” to the content items that represent the products even though they

have an optical image stabilizer.

The novel system described in this disclosure analyzes the users’ search queries and visualizes the

frequently used queries related to content items. It detects if a content item that represents an action

camera does in fact miss the “ois” acronym from its specification. Hence, the system 1) shows a low

score for the content item for those search queries. The low score raises the content author’s awareness.

The system further 2) suggests the content author to add “ois” to the content item specification.

Compared to the state of the art, this idea makes an easier, quicker, and less expensive optimization of

content for search functions possible. It supports an integration into the content authoring workflow and

provides an intuitive way to optimize the content managed with the CMS for search. In case of the web

shop example, it leads to a higher conversion rate, because customers quickly find relevant products

using common search queries.

The following drawing is an exemplary content authoring user interface. It shows a content item being

edited. In addition, a dialog shows information on the target cluster, the CRCIs, and the RSQs. It

visualizes how the content item scores according to the RSQs using a color code. Additionally, the

content author receives a suggestion to improve the score for a specific RSQ when it is selected. The

content author can remove individual RSQs and add custom search queries to the set of RSQs.

Preferred embodiment:

1. The novel system uses a search query history (SQH) component to store search queries

including the corresponding search results. If a search query is is...